LARS.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# LEAST ANGLE REGRESSION\n",
    "# using sklearn\n",
    "# importing required libraries\n",
    "\n",
    "from pandas import read_csv\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.linear_model import Lars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# preparing data\n",
    "\n",
    "filename = 'bengin_traffic.csv'\n",
    "dataset = read_csv(filename)\n",
    "array = dataset.values\n",
    "x = array[:,0:114]\n",
    "y = array[:,114]\n",
    "kfold = KFold(n_splits=10, random_state=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=9.743e-06, with an active set of 10 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=6.958e-06, with an active set of 14 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=6.958e-06, with an active set of 14 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 21 iterations, i.e. alpha=5.790e-06, with an active set of 20 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 27 iterations, i.e. alpha=4.841e-06, with an active set of 25 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 35 iterations, i.e. alpha=3.621e-06, with an active set of 32 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 35 iterations, i.e. alpha=3.570e-06, with an active set of 32 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 46 iterations, i.e. alpha=2.983e-06, with an active set of 41 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 46 iterations, i.e. alpha=2.916e-06, with an active set of 41 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 50 iterations, i.e. alpha=2.867e-06, with an active set of 43 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 52 iterations, i.e. alpha=2.695e-06, with an active set of 45 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 56 iterations, i.e. alpha=2.691e-06, with an active set of 48 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 57 iterations, i.e. alpha=2.587e-06, with an active set of 49 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 57 iterations, i.e. alpha=2.478e-06, with an active set of 49 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 62 iterations, i.e. alpha=2.240e-06, with an active set of 52 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 66 iterations, i.e. alpha=2.148e-06, with an active set of 55 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 67 iterations, i.e. alpha=2.135e-06, with an active set of 56 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 67 iterations, i.e. alpha=2.135e-06, with an active set of 56 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 68 iterations, i.e. alpha=1.817e-06, with an active set of 57 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 93 iterations, i.e. alpha=2.015e-06, with an active set of 75 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 93 iterations, i.e. alpha=1.645e-06, with an active set of 75 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 93 iterations, i.e. alpha=1.597e-06, with an active set of 75 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 95 iterations, i.e. alpha=1.533e-06, with an active set of 77 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 95 iterations, i.e. alpha=1.533e-06, with an active set of 77 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 104 iterations, i.e. alpha=1.581e-06, with an active set of 83 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 104 iterations, i.e. alpha=1.545e-06, with an active set of 83 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 104 iterations, i.e. alpha=1.483e-06, with an active set of 83 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 104 iterations, i.e. alpha=1.474e-06, with an active set of 83 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 105 iterations, i.e. alpha=1.468e-06, with an active set of 84 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 105 iterations, i.e. alpha=1.451e-06, with an active set of 84 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 112 iterations, i.e. alpha=1.204e-06, with an active set of 88 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 112 iterations, i.e. alpha=1.178e-06, with an active set of 88 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 112 iterations, i.e. alpha=1.147e-06, with an active set of 88 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=8.115e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=8.093e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=8.093e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=8.071e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=7.173e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=6.322e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=6.123e-07, with an active set of 89 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=6.307e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.358e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.358e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.358e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.337e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.337e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=5.317e-07, with an active set of 90 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 121 iterations, i.e. alpha=3.377e-07, with an active set of 91 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 121 iterations, i.e. alpha=3.107e-07, with an active set of 91 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 121 iterations, i.e. alpha=3.107e-07, with an active set of 91 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.953e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.840e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.840e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.840e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.840e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=2.314e-07, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=1.426e-07, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=1.426e-07, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=1.426e-07, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=1.426e-07, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=7.616e-06, with an active set of 13 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 21 iterations, i.e. alpha=5.336e-06, with an active set of 20 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 29 iterations, i.e. alpha=4.496e-06, with an active set of 26 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 62 iterations, i.e. alpha=1.222e-05, with an active set of 39 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 69 iterations, i.e. alpha=1.240e-05, with an active set of 44 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 112 iterations, i.e. alpha=2.599e-05, with an active set of 69 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 133 iterations, i.e. alpha=2.464e-05, with an active set of 84 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 133 iterations, i.e. alpha=2.461e-05, with an active set of 84 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 133 iterations, i.e. alpha=2.294e-05, with an active set of 84 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 137 iterations, i.e. alpha=2.256e-05, with an active set of 86 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 137 iterations, i.e. alpha=2.173e-05, with an active set of 86 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=4.326e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=3.722e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 3.495e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=3.459e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.857e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.319e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.202e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.016e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.872e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.676e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=1.646e-04, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=1.580e-04, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=1.491e-04, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 158 iterations, i.e. alpha=1.383e-04, with an active set of 95 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=1.118e-04, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=1.111e-04, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=8.827e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=8.141e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=7.728e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=7.673e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=7.431e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=6.891e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=6.146e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=4.379e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=4.339e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=4.081e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=3.306e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=2.690e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=2.135e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=1.505e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 162 iterations, i.e. alpha=1.035e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.650e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 32 iterations, i.e. alpha=5.916e-06, with an active set of 27 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 36 iterations, i.e. alpha=5.882e-06, with an active set of 31 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 107 iterations, i.e. alpha=2.334e-04, with an active set of 73 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 111 iterations, i.e. alpha=2.333e-04, with an active set of 76 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 113 iterations, i.e. alpha=1.830e-04, with an active set of 78 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=3.910e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=3.799e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=2.325e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=2.066e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.750e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 8.625e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.586e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 8.625e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.456e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 4.829e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.404e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.163e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=1.017e-03, with an active set of 100 regressors, and the smallest cholesky pivot element being 6.829e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=9.616e-04, with an active set of 100 regressors, and the smallest cholesky pivot element being 4.470e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=6.384e-04, with an active set of 100 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=6.753e-04, with an active set of 101 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=5.781e-04, with an active set of 101 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=5.068e-04, with an active set of 101 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=4.077e-04, with an active set of 101 regressors, and the smallest cholesky pivot element being 9.657e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=3.810e-04, with an active set of 101 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.543e-04, with an active set of 102 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=1.478e-04, with an active set of 102 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=8.240e-05, with an active set of 102 regressors, and the smallest cholesky pivot element being 9.828e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=7.832e-05, with an active set of 102 regressors, and the smallest cholesky pivot element being 9.828e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=5.998e-05, with an active set of 102 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=5.871e-05, with an active set of 103 regressors, and the smallest cholesky pivot element being 6.829e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=6.125e-05, with an active set of 104 regressors, and the smallest cholesky pivot element being 9.306e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=5.825e-05, with an active set of 104 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=4.181e-05, with an active set of 104 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=3.109e-05, with an active set of 104 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=2.937e-05, with an active set of 105 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=2.739e-05, with an active set of 105 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.972e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.966e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.883e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.858e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.601e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.009e-05, with an active set of 106 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=8.983e-06, with an active set of 106 regressors, and the smallest cholesky pivot element being 4.712e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=8.795e-06, with an active set of 106 regressors, and the smallest cholesky pivot element being 3.650e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 41 iterations, i.e. alpha=3.772e-06, with an active set of 36 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 41 iterations, i.e. alpha=3.772e-06, with an active set of 36 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 41 iterations, i.e. alpha=3.772e-06, with an active set of 36 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 90 iterations, i.e. alpha=1.674e-05, with an active set of 67 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 96 iterations, i.e. alpha=1.594e-05, with an active set of 70 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 96 iterations, i.e. alpha=1.594e-05, with an active set of 70 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=8.644e-05, with an active set of 93 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=8.373e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 4.712e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=8.095e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=7.751e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=7.609e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 9.424e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=7.530e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 4.344e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=6.224e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=6.400e-05, with an active set of 96 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 159 iterations, i.e. alpha=6.028e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 7.598e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 159 iterations, i.e. alpha=5.942e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 165 iterations, i.e. alpha=7.513e-05, with an active set of 99 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 188 iterations, i.e. alpha=4.109e-04, with an active set of 103 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 192 iterations, i.e. alpha=3.899e-04, with an active set of 105 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 192 iterations, i.e. alpha=3.728e-04, with an active set of 105 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 195 iterations, i.e. alpha=2.467e-04, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 197 iterations, i.e. alpha=2.431e-04, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 197 iterations, i.e. alpha=1.184e-04, with an active set of 109 regressors, and the smallest cholesky pivot element being 5.960e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 197 iterations, i.e. alpha=1.045e-04, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 199 iterations, i.e. alpha=1.341e-05, with an active set of 110 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 199 iterations, i.e. alpha=1.263e-05, with an active set of 110 regressors, and the smallest cholesky pivot element being 8.560e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 199 iterations, i.e. alpha=1.000e-05, with an active set of 110 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 199 iterations, i.e. alpha=4.500e-06, with an active set of 110 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=7.901e-06, with an active set of 11 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 25 iterations, i.e. alpha=5.152e-06, with an active set of 23 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 72 iterations, i.e. alpha=1.147e-05, with an active set of 56 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 118 iterations, i.e. alpha=1.098e-04, with an active set of 80 regressors, and the smallest cholesky pivot element being 4.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=1.102e+00, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 169 iterations, i.e. alpha=9.222e+00, with an active set of 104 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 170 iterations, i.e. alpha=7.134e+00, with an active set of 105 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 170 iterations, i.e. alpha=7.067e+00, with an active set of 105 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 172 iterations, i.e. alpha=9.788e+00, with an active set of 106 regressors, and the smallest cholesky pivot element being 8.229e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 172 iterations, i.e. alpha=6.786e+00, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=3.815e+00, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=3.790e+00, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=3.018e+00, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=2.319e+00, with an active set of 107 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 175 iterations, i.e. alpha=2.214e+00, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 175 iterations, i.e. alpha=1.114e+00, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 175 iterations, i.e. alpha=6.597e-01, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 175 iterations, i.e. alpha=4.838e-01, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 176 iterations, i.e. alpha=3.620e-01, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 176 iterations, i.e. alpha=2.839e-01, with an active set of 109 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 176 iterations, i.e. alpha=1.757e-01, with an active set of 109 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 176 iterations, i.e. alpha=1.028e-01, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 176 iterations, i.e. alpha=2.057e-02, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=8.983e-06, with an active set of 11 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 89 iterations, i.e. alpha=7.701e-06, with an active set of 65 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 107 iterations, i.e. alpha=1.227e-05, with an active set of 73 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 119 iterations, i.e. alpha=1.731e-05, with an active set of 79 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 144 iterations, i.e. alpha=7.910e-05, with an active set of 91 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 144 iterations, i.e. alpha=7.907e-05, with an active set of 91 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 144 iterations, i.e. alpha=7.898e-05, with an active set of 91 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=8.015e-05, with an active set of 93 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=8.007e-05, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 148 iterations, i.e. alpha=7.828e-05, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=7.502e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 4.215e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=6.882e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=6.334e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=6.294e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=6.047e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=5.514e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=4.970e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 3.495e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 150 iterations, i.e. alpha=4.606e-05, with an active set of 95 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=3.446e-05, with an active set of 96 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.979e-05, with an active set of 96 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=2.742e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=2.497e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=2.416e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.959e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.705e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.371e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.235e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.149e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.059e-05, with an active set of 98 regressors, and the smallest cholesky pivot element being 4.215e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=9.581e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=8.190e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=8.180e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=6.642e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=5.065e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=4.717e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=4.569e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.495e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=3.447e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.495e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.964e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.305e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=8.877e-06, with an active set of 11 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 30 iterations, i.e. alpha=5.966e-06, with an active set of 27 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 39 iterations, i.e. alpha=5.666e-06, with an active set of 33 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 77 iterations, i.e. alpha=1.697e-04, with an active set of 53 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 100 iterations, i.e. alpha=7.672e-04, with an active set of 66 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 101 iterations, i.e. alpha=7.661e-04, with an active set of 67 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 107 iterations, i.e. alpha=6.451e-04, with an active set of 72 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 108 iterations, i.e. alpha=6.425e-04, with an active set of 73 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=8.029e-03, with an active set of 80 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 126 iterations, i.e. alpha=8.322e-03, with an active set of 82 regressors, and the smallest cholesky pivot element being 5.771e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 144 iterations, i.e. alpha=2.914e-02, with an active set of 93 regressors, and the smallest cholesky pivot element being 5.771e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 146 iterations, i.e. alpha=2.992e-02, with an active set of 94 regressors, and the smallest cholesky pivot element being 5.162e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 147 iterations, i.e. alpha=2.525e-02, with an active set of 95 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.837e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.589e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.286e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 5.771e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=2.045e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=1.748e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 151 iterations, i.e. alpha=1.742e-02, with an active set of 96 regressors, and the smallest cholesky pivot element being 5.162e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.556e-02, with an active set of 97 regressors, and the smallest cholesky pivot element being 5.771e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.524e-02, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.351e-02, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=9.898e-03, with an active set of 97 regressors, and the smallest cholesky pivot element being 5.162e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=9.460e-03, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=8.638e-03, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=7.899e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=6.373e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=4.684e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=3.459e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.768e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.706e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.968e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.669e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 5.771e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.474e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.019e-03, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=7.603e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 5.162e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=6.164e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 5.162e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=5.188e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=3.750e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=2.425e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 154 iterations, i.e. alpha=1.130e-04, with an active set of 98 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=7.248e-06, with an active set of 12 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=6.853e-06, with an active set of 14 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 34 iterations, i.e. alpha=6.920e-06, with an active set of 31 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 34 iterations, i.e. alpha=6.920e-06, with an active set of 31 regressors, and the smallest cholesky pivot element being 5.960e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 40 iterations, i.e. alpha=6.822e-06, with an active set of 35 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 57 iterations, i.e. alpha=7.195e-06, with an active set of 49 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 96 iterations, i.e. alpha=1.150e-05, with an active set of 76 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 120 iterations, i.e. alpha=1.901e-05, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 120 iterations, i.e. alpha=1.847e-05, with an active set of 90 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 120 iterations, i.e. alpha=1.641e-05, with an active set of 90 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=1.520e-05, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=1.520e-05, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=1.406e-05, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=1.374e-05, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 122 iterations, i.e. alpha=1.339e-05, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 124 iterations, i.e. alpha=1.172e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 124 iterations, i.e. alpha=1.134e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 124 iterations, i.e. alpha=8.820e-06, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 124 iterations, i.e. alpha=8.458e-06, with an active set of 94 regressors, and the smallest cholesky pivot element being 4.593e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 124 iterations, i.e. alpha=8.388e-06, with an active set of 94 regressors, and the smallest cholesky pivot element being 4.593e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 125 iterations, i.e. alpha=4.630e-06, with an active set of 95 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 127 iterations, i.e. alpha=2.797e-06, with an active set of 96 regressors, and the smallest cholesky pivot element being 6.144e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 127 iterations, i.e. alpha=2.797e-06, with an active set of 96 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 127 iterations, i.e. alpha=2.797e-06, with an active set of 96 regressors, and the smallest cholesky pivot element being 4.593e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 127 iterations, i.e. alpha=2.746e-06, with an active set of 96 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 127 iterations, i.e. alpha=2.136e-06, with an active set of 96 regressors, and the smallest cholesky pivot element being 3.650e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 132 iterations, i.e. alpha=1.590e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 132 iterations, i.e. alpha=1.590e-06, with an active set of 98 regressors, and the smallest cholesky pivot element being 8.560e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 145 iterations, i.e. alpha=2.267e-06, with an active set of 103 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 149 iterations, i.e. alpha=2.822e-06, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=4.041e-06, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 152 iterations, i.e. alpha=3.396e-06, with an active set of 107 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 155 iterations, i.e. alpha=2.251e-06, with an active set of 109 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=2.105e-06, with an active set of 110 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.100e-06, with an active set of 110 regressors, and the smallest cholesky pivot element being 5.960e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 157 iterations, i.e. alpha=1.401e-07, with an active set of 110 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=7.710e-06, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 25 iterations, i.e. alpha=4.356e-06, with an active set of 23 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 56 iterations, i.e. alpha=2.431e-06, with an active set of 48 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 56 iterations, i.e. alpha=2.431e-06, with an active set of 48 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 61 iterations, i.e. alpha=2.161e-06, with an active set of 52 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 68 iterations, i.e. alpha=2.317e-06, with an active set of 56 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 153 iterations, i.e. alpha=1.196e+01, with an active set of 93 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=9.548e+02, with an active set of 103 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=7.887e+02, with an active set of 103 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 174 iterations, i.e. alpha=6.403e+02, with an active set of 103 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 178 iterations, i.e. alpha=5.890e+02, with an active set of 105 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 178 iterations, i.e. alpha=5.782e+02, with an active set of 105 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 178 iterations, i.e. alpha=4.749e+02, with an active set of 105 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 180 iterations, i.e. alpha=4.822e+02, with an active set of 106 regressors, and the smallest cholesky pivot element being 2.581e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 180 iterations, i.e. alpha=3.174e+02, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 180 iterations, i.e. alpha=3.082e+02, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 180 iterations, i.e. alpha=3.001e+02, with an active set of 106 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 182 iterations, i.e. alpha=3.143e+02, with an active set of 107 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=2.630e+02, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=2.289e+02, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.356e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=1.354e+02, with an active set of 108 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=1.314e+02, with an active set of 108 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=2.068e+01, with an active set of 108 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 183 iterations, i.e. alpha=1.019e+01, with an active set of 108 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-4.91254434e+00 -5.17590854e+07 -8.42768873e+08 -2.89114391e+06\n",
      " -8.80564575e+15 -1.14506587e+04 -2.09539118e+09 -1.04487624e+05\n",
      " -3.84111316e+20 -1.83618011e+04]\n",
      "-3.841201216652419e+19\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=7.913e-06, with an active set of 11 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 31 iterations, i.e. alpha=3.840e-06, with an active set of 29 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 61 iterations, i.e. alpha=3.486e-06, with an active set of 50 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 83 iterations, i.e. alpha=4.167e-06, with an active set of 64 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 90 iterations, i.e. alpha=5.747e-06, with an active set of 67 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 112 iterations, i.e. alpha=2.252e-04, with an active set of 80 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 114 iterations, i.e. alpha=1.963e-04, with an active set of 82 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 116 iterations, i.e. alpha=1.867e-04, with an active set of 84 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 116 iterations, i.e. alpha=1.834e-04, with an active set of 84 regressors, and the smallest cholesky pivot element being 2.107e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 121 iterations, i.e. alpha=1.760e-04, with an active set of 88 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 121 iterations, i.e. alpha=1.552e-04, with an active set of 88 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 123 iterations, i.e. alpha=1.379e-04, with an active set of 90 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 129 iterations, i.e. alpha=1.517e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 129 iterations, i.e. alpha=1.440e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 129 iterations, i.e. alpha=1.306e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 129 iterations, i.e. alpha=1.287e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 129 iterations, i.e. alpha=1.120e-04, with an active set of 92 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 130 iterations, i.e. alpha=1.015e-04, with an active set of 93 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=9.101e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=8.659e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.825e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=8.649e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=6.804e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=6.616e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 131 iterations, i.e. alpha=6.495e-05, with an active set of 94 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 133 iterations, i.e. alpha=4.469e-05, with an active set of 95 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 133 iterations, i.e. alpha=4.401e-05, with an active set of 95 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=3.782e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=3.426e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=3.252e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.980e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=3.207e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=3.034e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=2.595e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=2.058e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=2.010e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.332e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=1.316e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.054e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=1.113e-05, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.161e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=8.868e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=8.552e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.788e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=8.184e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 3.942e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=6.580e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=5.136e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=2.517e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n",
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:313: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 135 iterations, i.e. alpha=2.370e-06, with an active set of 97 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
      "  ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "# the real deal\n",
    "\n",
    "model = Lars()\n",
    "scoring = 'neg_mean_squared_error'\n",
    "results = cross_val_score(model, x, y, cv=kfold, scoring=scoring)\n",
    "print(results)\n",
    "print(results.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-4.91254434e+00 -5.17590854e+07 -8.42768873e+08 -2.89114391e+06\n",
      " -8.80564575e+15 -1.14506587e+04 -2.09539118e+09 -1.04487624e+05\n",
      " -3.84111316e+20 -1.83618011e+04]\n",
      "-3.841201216652419e+19\n"
     ]
    }
   ],
   "source": [
    "print(results)\n",
    "print(results.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}