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[FIX] release docs #452

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merged 3 commits into from
Jul 18, 2022
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[FIX] release docs #452

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ced6c38
Release 0.2
ravinkohli Jul 18, 2022
f2d6ea7
Release 0.2.0
ravinkohli Jul 18, 2022
ddd33e3
fix docs new line
ravinkohli Jul 18, 2022
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62 changes: 31 additions & 31 deletions docs/releases.rst
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Expand Up @@ -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
*****************
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