5 - Hyperlocal Forecasting with FBProphet.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hyperlocal Forecasting with FBProphet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 183
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6732,
     "status": "ok",
     "timestamp": 1559746598349,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "JzFh0eV9JCGR",
    "outputId": "a484737f-4182-4e76-de90-49f6e6674a2b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pygeohash\n",
      "  Downloading https://files.pythonhosted.org/packages/2c/33/c912fa4476cedcd3ed9cd25c44c163583b92d319860438e6b632f7f42d0c/pygeohash-1.2.0.tar.gz\n",
      "Building wheels for collected packages: pygeohash\n",
      "  Building wheel for pygeohash (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Stored in directory: /root/.cache/pip/wheels/3f/5f/14/989d83a271207dda28232746d63e737a2dbd88ea7f7a9db807\n",
      "Successfully built pygeohash\n",
      "Installing collected packages: pygeohash\n",
      "Successfully installed pygeohash-1.2.0\n"
     ]
    }
   ],
   "source": [
    "!pip3 install pygeohash"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xJnZRzRKIh7_"
   },
   "outputs": [],
   "source": [
    "import math\n",
    "import datetime\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pygeohash as gh\n",
    "from fbprophet import Prophet\n",
    "from fbprophet.diagnostics import cross_validation, performance_metrics\n",
    "from fbprophet.plot import plot_cross_validation_metric\n",
    "\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "import _pickle as cPickle\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import animation\n",
    "sns.set(style=\"whitegrid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nENLyXXiIh8G"
   },
   "source": [
    "## The data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "64C3pwGcIh8H"
   },
   "source": [
    "### Load preprocessed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 128
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 30279,
     "status": "ok",
     "timestamp": 1559746645147,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "BJH0hoCOJJHc",
    "outputId": "23c4e4b1-cec6-4d34-a6f7-541e70a127cf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
      "\n",
      "Enter your authorization code:\n",
      "··········\n",
      "Mounted at /content/gdrive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/gdrive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1767,
     "status": "ok",
     "timestamp": 1559746654353,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "zo3596duJSX5",
    "outputId": "414aa532-ba29-4447-f38d-e50e36dcb19c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/gdrive/My Drive/Colab Notebooks/aiforsea\n"
     ]
    }
   ],
   "source": [
    "cd 'gdrive/My Drive/Colab Notebooks/aiforsea'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 285
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 18426,
     "status": "ok",
     "timestamp": 1559746673822,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "DSapfJtDIh8K",
    "outputId": "51d6327b-8df5-4f11-d387-c346c656c2c6"
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geohash6</th>\n",
       "      <th>day</th>\n",
       "      <th>demand</th>\n",
       "      <th>in_raw</th>\n",
       "      <th>weekday</th>\n",
       "      <th>hour</th>\n",
       "      <th>minutes</th>\n",
       "      <th>ds</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>qp02yc</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.653687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>qp02z1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.664673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>qp02z3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.675659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>qp02z9</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.686646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>qp02zc</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.697632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  geohash6  day  demand  ...                   ds  latitude  longitude\n",
       "0   qp02yc    1     0.0  ...  1900-01-01 00:00:00 -5.484924  90.653687\n",
       "1   qp02z1    1     0.0  ...  1900-01-01 00:00:00 -5.484924  90.664673\n",
       "2   qp02z3    1     0.0  ...  1900-01-01 00:00:00 -5.484924  90.675659\n",
       "3   qp02z9    1     0.0  ...  1900-01-01 00:00:00 -5.484924  90.686646\n",
       "4   qp02zc    1     0.0  ...  1900-01-01 00:00:00 -5.484924  90.697632\n",
       "\n",
       "[5 rows x 10 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('full_data.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "oTRJBeh7Ih8U"
   },
   "source": [
    "### Add fbprophet info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "cCVHNw7QIh8W"
   },
   "outputs": [],
   "source": [
    "def is_weekend(day):\n",
    "    if type(day) != int:\n",
    "        day = int(pd.to_datetime(day).day)\n",
    "    day %= 7\n",
    "    return (4 <= day <= 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1095,
     "status": "ok",
     "timestamp": 1559746691556,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "NeZ5-uM6Ih8a",
    "outputId": "89c556ee-347f-49ea-9b0d-cb33d7d4291e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 227 ms, sys: 4.05 ms, total: 231 ms\n",
      "Wall time: 232 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df['is_weekend'] = (4 <= (df['day'].values % 7 )) & ((df['day'].values % 7) <= 5)\n",
    "df['is_weekday'] = ~(df['is_weekend'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vjAk5EUxIh8g"
   },
   "outputs": [],
   "source": [
    "df['cap'] = 1.0\n",
    "df['floor'] = 0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 391
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 792,
     "status": "ok",
     "timestamp": 1559746696138,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "42jDFbKEIh8m",
    "outputId": "b2762c42-f02e-42f3-ecfb-7ffb82ebdac5"
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geohash6</th>\n",
       "      <th>day</th>\n",
       "      <th>demand</th>\n",
       "      <th>in_raw</th>\n",
       "      <th>weekday</th>\n",
       "      <th>hour</th>\n",
       "      <th>minutes</th>\n",
       "      <th>ds</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>is_weekend</th>\n",
       "      <th>is_weekday</th>\n",
       "      <th>cap</th>\n",
       "      <th>floor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>qp02yc</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.653687</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>qp02z1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.664673</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>qp02z3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.675659</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>qp02z9</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.686646</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>qp02zc</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1900-01-01 00:00:00</td>\n",
       "      <td>-5.484924</td>\n",
       "      <td>90.697632</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  geohash6  day  demand  in_raw  ...  is_weekend  is_weekday  cap floor\n",
       "0   qp02yc    1     0.0   False  ...       False        True  1.0   0.0\n",
       "1   qp02z1    1     0.0   False  ...       False        True  1.0   0.0\n",
       "2   qp02z3    1     0.0   False  ...       False        True  1.0   0.0\n",
       "3   qp02z9    1     0.0   False  ...       False        True  1.0   0.0\n",
       "4   qp02zc    1     0.0   False  ...       False        True  1.0   0.0\n",
       "\n",
       "[5 rows x 14 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qXDbkjnMIh8s"
   },
   "source": [
    "### Collect information for each location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1243,
     "status": "ok",
     "timestamp": 1559746700284,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "a1OagXXiIh8v",
    "outputId": "8d4d232c-b950-4895-c6c5-ab05239dff8e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1329 ['qp02yc' 'qp02z1' 'qp02z3' ... 'qp0djw' 'qp0djy' 'qp0dnn']\n"
     ]
    }
   ],
   "source": [
    "locations = df['geohash6'].unique()\n",
    "print(len(locations), locations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "FahF3vGSIh81"
   },
   "outputs": [],
   "source": [
    "df_locinfo = pd.DataFrame()\n",
    "df_locinfo['median'] = df.groupby(['geohash6'])['demand'].median()\n",
    "df_locinfo['mean'] = df.groupby(['geohash6'])['demand'].mean()\n",
    "df_locinfo['count'] = df.groupby(['geohash6'])['demand'].count()\n",
    "\n",
    "df_locinfo = df_locinfo.sort_values(by=['mean', 'median'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 90
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3149,
     "status": "ok",
     "timestamp": 1559746702540,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "6xbUajmvIh88",
    "outputId": "5ab378dc-f48a-483a-f640-a367a5f93ffc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median       0.245194\n",
       "mean         0.237392\n",
       "count     5856.000000\n",
       "Name: qp096w, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_locinfo.iloc[int(0.95*len(locations))]\n",
    "# df_locinfo.iloc[len(locations)//2:len(locations)//2+5]\n",
    "#df_locinfo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5-W5f-ZKIh9B"
   },
   "source": [
    "## Predict in one location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Eeo3rGu5Ih9C"
   },
   "source": [
    "### Get relevant data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "wm9rwYp4Ih9D"
   },
   "source": [
    "- rmse with 14-day training time: 0.014642195942103692\n",
    "- rmse with 61-day training time: 0.016393733352326783\n",
    "- rmse with full data:            0.019973121016863295"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 198
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1203,
     "status": "ok",
     "timestamp": 1559746703676,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "s_6eyoTsIh9E",
    "outputId": "5c1eb01f-d54d-4319-c7b7-bfeac638f236"
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>y</th>\n",
       "      <th>ds</th>\n",
       "      <th>is_weekend</th>\n",
       "      <th>is_weekday</th>\n",
       "      <th>cap</th>\n",
       "      <th>floor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.045129</td>\n",
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       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.065130</td>\n",
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       "      <td>True</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.171539</td>\n",
       "      <td>1900-02-16 01:00:00</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          y                   ds  is_weekend  is_weekday  cap  floor\n",
       "0  0.045129  1900-02-16 00:00:00        True       False  1.0    0.0\n",
       "1  0.081951  1900-02-16 00:15:00        True       False  1.0    0.0\n",
       "2  0.065130  1900-02-16 00:30:00        True       False  1.0    0.0\n",
       "3  0.193261  1900-02-16 00:45:00        True       False  1.0    0.0\n",
       "4  0.171539  1900-02-16 01:00:00        True       False  1.0    0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fb = df[df['geohash6'] == 'qp096w'].reset_index().drop('index', axis=1)\n",
    "df_fb = df_fb[df_fb['day'] >= 61-14].reset_index().drop('index', axis=1)\n",
    "df_fb = df_fb.rename(columns={'demand' : 'y'}).drop(['geohash6', 'in_raw',\n",
    "                                                     'weekday', 'hour', 'minutes',\n",
    "                                                     'day', 'latitude', 'longitude'], axis=1)\n",
    "df_fb.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BnDTDm-bIh9L"
   },
   "outputs": [],
   "source": [
    "# %%time\n",
    "# df_fb = df[df['geohash6'] == 'qp096w'].groupby(['day', 'ds'])['demand'].mean().reset_index()\n",
    "# df_fb = df_fb[df_fb['day'] >= 61-14].reset_index().drop('index', axis=1)\n",
    "# df_fb = df_fb.rename(columns={'demand' : 'y'}).drop(['day'], axis=1)\n",
    "# \n",
    "# df_fb['cap']   = 1.0\n",
    "# df_fb['floor'] = 0.0\n",
    "# \n",
    "# df_fb['is_weekend'] = df_fb['ds'].apply(is_weekend)\n",
    "# df_fb['is_weekday'] = ~df_fb['ds'].apply(is_weekend)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 198
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1126,
     "status": "ok",
     "timestamp": 1559746707287,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "Gg5Hqr7cIh9R",
    "outputId": "2356f5fc-b812-4d13-d78f-dc3a3358351c"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y</th>\n",
       "      <th>ds</th>\n",
       "      <th>is_weekend</th>\n",
       "      <th>is_weekday</th>\n",
       "      <th>cap</th>\n",
       "      <th>floor</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>0.0</td>\n",
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       "      <th>1</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.065130</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.193261</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.171539</td>\n",
       "      <td>1900-02-16 01:00:00</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          y                   ds  is_weekend  is_weekday  cap  floor\n",
       "0  0.045129  1900-02-16 00:00:00        True       False  1.0    0.0\n",
       "1  0.081951  1900-02-16 00:15:00        True       False  1.0    0.0\n",
       "2  0.065130  1900-02-16 00:30:00        True       False  1.0    0.0\n",
       "3  0.193261  1900-02-16 00:45:00        True       False  1.0    0.0\n",
       "4  0.171539  1900-02-16 01:00:00        True       False  1.0    0.0"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fb.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ISPbd97fIh9Y"
   },
   "source": [
    "### Create and train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 74
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1547,
     "status": "ok",
     "timestamp": 1559746714097,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "VWTRKlj7Ih9b",
    "outputId": "2679614c-1a58-4c8b-8e77-35b66784b5b8"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<fbprophet.forecaster.Prophet at 0x7f22fd387f98>"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = Prophet(\n",
    "        growth='logistic',\n",
    "        seasonality_mode='multiplicative',\n",
    "        daily_seasonality=False,\n",
    "        uncertainty_samples=100\n",
    "    ).add_seasonality(\n",
    "        name='weekday_daily',\n",
    "        period=1,\n",
    "        fourier_order=12,\n",
    "        condition_name='is_weekday'\n",
    "    ).add_seasonality(\n",
    "        name='weekend_daily',\n",
    "        period=1,\n",
    "        fourier_order=12,\n",
    "        condition_name='is_weekend'\n",
    "    )\n",
    "\n",
    "m.fit(df_fb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1eq1oRVgIh9o"
   },
   "source": [
    "### Forecast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 198
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 674,
     "status": "ok",
     "timestamp": 1559746714100,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "dtaLaFsOIh9p",
    "outputId": "6ded5ccc-af23-4aae-d6f1-abd8208644a5"
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "                      ds  cap  floor  is_weekend  is_weekday\n",
       "1440 1900-03-03 00:00:00  1.0    0.0       False        True\n",
       "1441 1900-03-03 00:15:00  1.0    0.0       False        True\n",
       "1442 1900-03-03 00:30:00  1.0    0.0       False        True\n",
       "1443 1900-03-03 00:45:00  1.0    0.0       False        True\n",
       "1444 1900-03-03 01:00:00  1.0    0.0       False        True"
      ]
     },
     "execution_count": 18,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future = m.make_future_dataframe(periods=5, freq='15min')\n",
    "\n",
    "future['cap'] = 1.0\n",
    "future['floor'] = 0.0\n",
    "\n",
    "future['is_weekend'] = future['ds'].apply(is_weekend)\n",
    "future['is_weekday'] = ~future['ds'].apply(is_weekend)\n",
    "\n",
    "future.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 198
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    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3483,
     "status": "ok",
     "timestamp": 1559746717194,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
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    },
    "id": "qVUhowUWIh9x",
    "outputId": "c855eb33-10c3-4a69-c1f5-0ed0210db735"
   },
   "outputs": [
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       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>1900-03-03 00:45:00</td>\n",
       "      <td>0.322374</td>\n",
       "      <td>0.239317</td>\n",
       "      <td>0.402594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>1900-03-03 01:00:00</td>\n",
       "      <td>0.330731</td>\n",
       "      <td>0.248233</td>\n",
       "      <td>0.422017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      ds      yhat  yhat_lower  yhat_upper\n",
       "1440 1900-03-03 00:00:00  0.290961    0.225108    0.371766\n",
       "1441 1900-03-03 00:15:00  0.307807    0.226014    0.392818\n",
       "1442 1900-03-03 00:30:00  0.316444    0.224787    0.375289\n",
       "1443 1900-03-03 00:45:00  0.322374    0.239317    0.402594\n",
       "1444 1900-03-03 01:00:00  0.330731    0.248233    0.422017"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast = m.predict(future)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 293
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1026,
     "status": "ok",
     "timestamp": 1559755198137,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "yqYXF744Ih9-",
    "outputId": "fab494a4-0083-4d8c-adc8-5749310d6c84"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f22f7d5ec50>"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ozg5HR0c+/vhj/Pz8GDduHOPGjcPT05Ply5fzl7/8heeff56VK1cyaNAg4y62sLAwoqOj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\nhBBGUgpCCCGMpBSEEEIY/T/EmhjunJq6qQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(forecast['yhat'].iloc[-15:], label='prediction')\n",
    "plt.plot(df_fb['y'].iloc[-10:], label='actual')\n",
    "plt.legend(loc='upper left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2648,
     "status": "ok",
     "timestamp": 1559746717199,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "Wp5c_eGVIh-J",
    "outputId": "b61c5555-eafe-4170-afb9-2f4d3e748a99"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root_mean_squared_error: 0.08769441308597882\n"
     ]
    }
   ],
   "source": [
    "rmse = math.sqrt(mean_squared_error(forecast['yhat'].iloc[-10:-5].values, df_fb['y'].iloc[-5:].values))\n",
    "print(\"root_mean_squared_error:\", rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 437
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3137,
     "status": "ok",
     "timestamp": 1559746718438,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "Ya7r9nfNIh-T",
    "outputId": "d6335a01-23a6-4c70-dff9-7efd94a30795"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vDR13/9dPMXTm/Pj37tiyCa5wGn834WDv1s04/7ySpLWvwXYBrbETpSFa9aqN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SSQSW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\nFUVIJR43MRksB7u8vJwvfelLbNrXwaGWKJ0Jk0xdJajKaoP3m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MpDQBUMHTIkRerv05KD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Chs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\nIroM+H/pzDkrKiq47bbbsMxUMIVtG3FampvQPO3rlO2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UxhIp2+VgSztNe7bz7lpv4RGK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95bswodXBZsshvbOdfU1GDs2LEYPHgw3G43Xn31VTR3Ls+91W+9gwNVjXCqJ8LHC0eMQdbk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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1 = m.plot(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 869
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 4367,
     "status": "ok",
     "timestamp": 1559746720395,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "rRSlKFKcIh-Z",
    "outputId": "33fc6fa3-6a40-4e07-b30e-d9f7c521b420"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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btw7r1q2r0L5//354eXnhvffewxdffFGh/ejRo5BIJFi2bBm2bt1q1ebh4YGf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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2 = m.plot_components(forecast)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "K_q6UmchIh-d"
   },
   "source": [
    "## Calculate Mean RMSE in all locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 198
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1182,
     "status": "ok",
     "timestamp": 1559746767029,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "J3epr5uCIh-e",
    "outputId": "888b46c9-2015-4dcc-8d23-6a8ef8a4d74f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>cap</th>\n",
       "      <th>floor</th>\n",
       "      <th>is_weekend</th>\n",
       "      <th>is_weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>1900-03-02 22:45:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>1900-03-02 23:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>1900-03-02 23:15:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>1900-03-02 23:30:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>1900-03-02 23:45:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      ds  cap  floor  is_weekend  is_weekday\n",
       "1435 1900-03-02 22:45:00  1.0    0.0       False        True\n",
       "1436 1900-03-02 23:00:00  1.0    0.0       False        True\n",
       "1437 1900-03-02 23:15:00  1.0    0.0       False        True\n",
       "1438 1900-03-02 23:30:00  1.0    0.0       False        True\n",
       "1439 1900-03-02 23:45:00  1.0    0.0       False        True"
      ]
     },
     "execution_count": 24,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future = m.make_future_dataframe(periods=5, freq='15min')\n",
    "future['cap'] = 1.0\n",
    "future['floor'] = 0.0\n",
    "future['is_weekend'] = future['ds'].apply(is_weekend)\n",
    "future['is_weekday'] = ~future['ds'].apply(is_weekend)\n",
    "future = future.iloc[-10:-5, :]\n",
    "future"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3196,
     "status": "ok",
     "timestamp": 1559746771138,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "_I6p8BAsIh-j",
    "outputId": "20da10a4-dc98-47db-92e9-6b0c2569c5e4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.34 s, sys: 18.5 ms, total: 2.36 s\n",
      "Wall time: 2.36 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_fbc = df[df['day'] >= 61-14].rename(columns={'demand' : 'y'})\n",
    "gb = df_fbc.groupby('geohash6')    \n",
    "series = {x : gb.get_group(x) for x in gb.groups}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 381
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 544614,
     "status": "ok",
     "timestamp": 1559747354384,
     "user": {
      "displayName": "Franz Louis Cesista",
      "photoUrl": "https://lh3.googleusercontent.com/-NquKeLt1770/AAAAAAAAAAI/AAAAAAAAAMo/RHnx0T1cGIk/s64/photo.jpg",
      "userId": "08273419339046628946"
     },
     "user_tz": -480
    },
    "id": "S_woGcLJIh-n",
    "outputId": "1a35a519-e612-4b9d-bb8c-f61e80ff940a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n",
      "WARNING:fbprophet:Optimization terminated abnormally. Falling back to Newton.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.33 s, sys: 412 ms, total: 2.74 s\n",
      "Wall time: 9min 3s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "from multiprocessing import Pool, cpu_count\n",
    "import _pickle as cPickle\n",
    "\n",
    "def run_prophet(series):\n",
    "    prophet = Prophet(\n",
    "        growth='logistic',\n",
    "        seasonality_mode='multiplicative',\n",
    "        daily_seasonality=False,\n",
    "        yearly_seasonality=False,\n",
    "        uncertainty_samples=100\n",
    "    ).add_seasonality(\n",
    "        name='weekday_daily',\n",
    "        period=1,\n",
    "        fourier_order=6,\n",
    "        condition_name='is_weekday'\n",
    "    ).add_seasonality(\n",
    "        name='weekend_daily',\n",
    "        period=1,\n",
    "        fourier_order=6,\n",
    "        condition_name='is_weekend'\n",
    "    )\n",
    "    prophet.fit(series['data'])\n",
    "    \n",
    "    with open('models/prophets/prophet@{}.pkl'.format(series['location']), 'wb') as fid:\n",
    "        cPickle.dump(prophet, fid)\n",
    "\n",
    "p = Pool(cpu_count())\n",
    "predictions = p.imap(run_prophet, list({'location':location, 'data':series[location]} for location in locations))\n",
    "p.close()\n",
    "p.join()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vF-rLK3PIh-2"
   },
   "outputs": [],
   "source": []
  }
 ],
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