Version 0.2

What's Changed

• Fix 361 by @ravinkohli in #367
• [ADD] Test evaluator by @ravinkohli in #368
• [fix] Hotfix debug no training in simple intensifier by @nabenabe0928 in #370
• [fix] Change int to np.int32 for the ndarray dtype specification by @nabenabe0928 in #371
• [ADD] variance thresholding by @ravinkohli in #373
• [ADD] scalers from autosklearn by @ravinkohli in #372
• [FIX] Remove redundant categorical imputation by @ravinkohli in #375
• [feat] Add coalescer by @nabenabe0928 in #376
• Fix: keyword arguments to submit by @eddiebergman in #384
• [FIX] Datamanager in memory by @ravinkohli in #382
• [feat] Add new task inference for APT by @nabenabe0928 in #386
• [fix] Update the SMAC version by @nabenabe0928 in #388
• [ADD] dataset compression by @ravinkohli in #387
• [refactor] Fix SparseMatrixType --> spmatrix and add ispandas by @nabenabe0928 in #397
• [ADD] feature preprocessors from autosklearn by @ravinkohli in #378
• [feat] Add str to autoPyTorchEnum by @nabenabe0928 in #405
• [ADD] Subsampling Dataset by @ravinkohli in #398
• fix dist twine check for github by @dengdifan in #439
• Time series forecasting by @dengdifan in #434
• fit updates in gluonts by @dengdifan in #445
• docs for forecasting task by @dengdifan in #443
• [ADD] Allow users to pass feat types to tabular validator by @ravinkohli in #441
• [RELEASE] Changes for release v0.2 by @ravinkohli in #446
• [FIX] Documentation and docker workflow file by @ravinkohli in #449
• [ADD] change log for release by @ravinkohli in #450
• [RELEASE] Release v0.2 by @ravinkohli in #448

New Contributors

• @dengdifan made their first contribution in #439

Full Changelog: v0.1.1...v0.2