From 0e574af63b01634d9987470730e7a65c20398ff1 Mon Sep 17 00:00:00 2001
From: Ravin Kohli <13005107+ravinkohli@users.noreply.github.com>
Date: Mon, 18 Jul 2022 20:15:27 +0200
Subject: [PATCH] [FIX] release docs (#452)

* Release 0.2

* Release 0.2.0

* fix docs new line
---
 docs/releases.rst | 62 +++++++++++++++++++++++------------------------
 1 file changed, 31 insertions(+), 31 deletions(-)

diff --git a/docs/releases.rst b/docs/releases.rst
index 4ce326bb8..ef6d65717 100644
--- a/docs/releases.rst
+++ b/docs/releases.rst
@@ -14,37 +14,37 @@ Releases
 
 Version 0.2
 ===========
-[FIX] Documentation and docker workflow file (#449)
-[RELEASE] Changes for release v0.2 (#446)
-[ADD] Allow users to pass feat types to tabular validator (#441)
-[ADD] docs for forecasting task (#443)
-[FIX] fit updates in gluonts (#445)
-[ADD] Time series forecasting (#434)
-[FIX] fix dist twine check for github (#439)
-[ADD] Subsampling Dataset (#398)
-[feat] Add __str__ to autoPyTorchEnum (#405)
-[ADD] feature preprocessors from autosklearn (#378)
-[refactor] Fix SparseMatrixType --> spmatrix and add ispandas (#397)
-[ADD] dataset compression (#387)
-[fix] Update the SMAC version (#388)
-[feat] Add new task inference for APT (#386)
-[FIX] Datamanager in memory (#382)
-[FIX] Fix: keyword arguments to submit (#384)
-[feat] Add coalescer (#376)
-[FIX] Remove redundant categorical imputation (#375)
-[ADD] scalers from autosklearn (#372)
-[ADD] variance thresholding (#373)
-[fix] Change int to np.int32 for the ndarray dtype specification (#371)
-[fix] Hotfix debug no training in simple intensifier (#370)
-[ADD] Test evaluator (#368)
-[FIX] Fix 361 (#367)
-[FIX] fix error after merge
-[ADD] Docker publish workflow (#357)
-[ADD] fit pipeline honoring API constraints with tests (#348)
-[FIX] Update workflow files (#363)
-[feat] Add the option to save a figure in plot setting params (#351)
-[FIX] Cleanup of simple_imputer (#346)
-[feat] Add an object that realizes the perf over time viz (#331)
+| [FIX] Documentation and docker workflow file (#449)
+| [RELEASE] Changes for release v0.2 (#446)
+| [ADD] Allow users to pass feat types to tabular validator (#441)
+| [ADD] docs for forecasting task (#443)
+| [FIX] fit updates in gluonts (#445)
+| [ADD] Time series forecasting (#434)
+| [FIX] fix dist twine check for github (#439)
+| [ADD] Subsampling Dataset (#398)
+| [feat] Add __str__ to autoPyTorchEnum (#405)
+| [ADD] feature preprocessors from autosklearn (#378)
+| [refactor] Fix SparseMatrixType --> spmatrix and add ispandas (#397)
+| [ADD] dataset compression (#387)
+| [fix] Update the SMAC version (#388)
+| [feat] Add new task inference for APT (#386)
+| [FIX] Datamanager in memory (#382)
+| [FIX] Fix: keyword arguments to submit (#384)
+| [feat] Add coalescer (#376)
+| [FIX] Remove redundant categorical imputation (#375)
+| [ADD] scalers from autosklearn (#372)
+| [ADD] variance thresholding (#373)
+| [fix] Change int to np.int32 for the ndarray dtype specification (#371)
+| [fix] Hotfix debug no training in simple intensifier (#370)
+| [ADD] Test evaluator (#368)
+| [FIX] Fix 361 (#367)
+| [FIX] fix error after merge
+| [ADD] Docker publish workflow (#357)
+| [ADD] fit pipeline honoring API constraints with tests (#348)
+| [FIX] Update workflow files (#363)
+| [feat] Add the option to save a figure in plot setting params (#351)
+| [FIX] Cleanup of simple_imputer (#346)
+| [feat] Add an object that realizes the perf over time viz (#331)
 
 Contributors v0.2
 *****************