@@ -14,37 +14,37 @@ Releases
1414
1515Version 0.2
1616===========
17- [FIX] Documentation and docker workflow file (#449)
18- [RELEASE] Changes for release v0.2 (#446)
19- [ADD] Allow users to pass feat types to tabular validator (#441)
20- [ADD] docs for forecasting task (#443)
21- [FIX] fit updates in gluonts (#445)
22- [ADD] Time series forecasting (#434)
23- [FIX] fix dist twine check for github (#439)
24- [ADD] Subsampling Dataset (#398)
25- [feat] Add __str__ to autoPyTorchEnum (#405)
26- [ADD] feature preprocessors from autosklearn (#378)
27- [refactor] Fix SparseMatrixType --> spmatrix and add ispandas (#397)
28- [ADD] dataset compression (#387)
29- [fix] Update the SMAC version (#388)
30- [feat] Add new task inference for APT (#386)
31- [FIX] Datamanager in memory (#382)
32- [FIX] Fix: keyword arguments to submit (#384)
33- [feat] Add coalescer (#376)
34- [FIX] Remove redundant categorical imputation (#375)
35- [ADD] scalers from autosklearn (#372)
36- [ADD] variance thresholding (#373)
37- [fix] Change int to np.int32 for the ndarray dtype specification (#371)
38- [fix] Hotfix debug no training in simple intensifier (#370)
39- [ADD] Test evaluator (#368)
40- [FIX] Fix 361 (#367)
41- [FIX] fix error after merge
42- [ADD] Docker publish workflow (#357)
43- [ADD] fit pipeline honoring API constraints with tests (#348)
44- [FIX] Update workflow files (#363)
45- [feat] Add the option to save a figure in plot setting params (#351)
46- [FIX] Cleanup of simple_imputer (#346)
47- [feat] Add an object that realizes the perf over time viz (#331)
17+ | [FIX] Documentation and docker workflow file (#449)
18+ | [RELEASE] Changes for release v0.2 (#446)
19+ | [ADD] Allow users to pass feat types to tabular validator (#441)
20+ | [ADD] docs for forecasting task (#443)
21+ | [FIX] fit updates in gluonts (#445)
22+ | [ADD] Time series forecasting (#434)
23+ | [FIX] fix dist twine check for github (#439)
24+ | [ADD] Subsampling Dataset (#398)
25+ | [feat] Add __str__ to autoPyTorchEnum (#405)
26+ | [ADD] feature preprocessors from autosklearn (#378)
27+ | [refactor] Fix SparseMatrixType --> spmatrix and add ispandas (#397)
28+ | [ADD] dataset compression (#387)
29+ | [fix] Update the SMAC version (#388)
30+ | [feat] Add new task inference for APT (#386)
31+ | [FIX] Datamanager in memory (#382)
32+ | [FIX] Fix: keyword arguments to submit (#384)
33+ | [feat] Add coalescer (#376)
34+ | [FIX] Remove redundant categorical imputation (#375)
35+ | [ADD] scalers from autosklearn (#372)
36+ | [ADD] variance thresholding (#373)
37+ | [fix] Change int to np.int32 for the ndarray dtype specification (#371)
38+ | [fix] Hotfix debug no training in simple intensifier (#370)
39+ | [ADD] Test evaluator (#368)
40+ | [FIX] Fix 361 (#367)
41+ | [FIX] fix error after merge
42+ | [ADD] Docker publish workflow (#357)
43+ | [ADD] fit pipeline honoring API constraints with tests (#348)
44+ | [FIX] Update workflow files (#363)
45+ | [feat] Add the option to save a figure in plot setting params (#351)
46+ | [FIX] Cleanup of simple_imputer (#346)
47+ | [feat] Add an object that realizes the perf over time viz (#331)
4848
4949Contributors v0.2
5050*****************
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