v0.1.1

What's Changed

• fixed README by @urbanmatthias in #1
• Update develop branch to 0.0.2 release by @LMZimmer in #17
• set fill value to max of full dataset + 1 by @jonathanburns in #36
• Include missing files in sdist by @thatch in #47
• sort value range sets before adding as hyperparameter by @ntnguyen-dev in #43
• Image classification full cs by @dwoiwode in #73
• Document formatting by @daikikatsuragawa in #64
• Allow specifying the network type in include by @franchuterivera in #78
• Search space update by @ravinkohli in #80
• Network Cleanup by @bastiscode in #81
• Make sure the performance of pipeline is at least 0.8 by @franchuterivera in #82
• Refactor development docs by @franchuterivera in #83
• Feature preprocessors, Loss strategies by @ravinkohli in #86
• Handling Input to auto pytorch by @franchuterivera in #89
• Adding tabular regression pipeline by @bastiscode in #85
• FIX weighted loss issue by @ravinkohli in #94
• Reduce Deadlock Probability by @franchuterivera in #84
• handle nans in categorical columns by @ravinkohli in #118
• Pre fetch openml data for pytest by @franchuterivera in #112
• Embedding layer by @ravinkohli in #91
• Fixes to address automlbenchmark problems by @franchuterivera in #126
• Bug fix in Test API by @ravinkohli in #129
• Refactoring base dataset by @nabenabe0928 in #105
• move to a minimization problem by @franchuterivera in #113
• FIX_123 by @franchuterivera in #133
• Adds more examples to customise AutoPyTorch. by @ravinkohli in #124
• [Feat] Better traditional pipeline cutoff time by @franchuterivera in #141
• Hyperparameter Search Space updates now with constant and include ability by @ravinkohli in #146
• [Bug] Fix random halt problems on traditional pipelines by @franchuterivera in #147
• Run history traditional by @ravinkohli in #121
• [FIX] Enables backend to track the num run by @franchuterivera in #162
• [Doc] First push of the developer documentation by @franchuterivera in #127
• Refactoring base dataset splitting functions by @nabenabe0928 in #106
• [Fix] Refactor development reproducibility by @franchuterivera in #172
• [ADD] Extra visualization example by @franchuterivera in #189
• [Fix] docs links by @franchuterivera in #201
• [Refactor] Use the backend implementation from automl common by @franchuterivera in #185
• [DOC] Adds documentation to the abstract evaluator by @franchuterivera in #160
• [FIX] Update Readme by @franchuterivera in #208
• Reduce run time of the test by @ravinkohli in #205
• [refactor] Getting dataset properties from the dataset object by @ravinkohli in #164
• Change ubuntu version in docs workflow by @ravinkohli in #237
• Add dist check worflow by @ravinkohli in #238
• [feature] Greedy Portfolio by @ravinkohli in #200
• [ADD] Forkserver as default multiprocessing strategy by @franchuterivera in #223
• [ADD] Get incumbent config by @ravinkohli in #175
• [ADD] Coverage calculation by @franchuterivera in #224
• [ADD] Pytest schedule by @ravinkohli in #234
• [fix] Dropout bug fix by @ravinkohli in #247
• [FIX] Fixes for Tabular Regression by @ravinkohli in #235
• [doc] Add the bug fix information for ipython user by @nabenabe0928 in #254
• [ADD] Enable long running regression by @franchuterivera in #251
• [MAINT] Drop 3.6 python support by @franchuterivera in #258
• [ADD] Stricter checks mypy by @ravinkohli in #240
• [feat] Add flexible step-wise LR scheduler with minimum changes by @nabenabe0928 in #256
• Enable python 3.9 by @franchuterivera in #264
• Fixes problems with weighted cross-entropy by @franchuterivera in #263
• [Fix] long running regression by @franchuterivera in #272
• [Fix] budget allocation to enable runtime/epoch as budget by @franchuterivera in #271
• [fix] Be able to display error messages in additional info as it is by @nabenabe0928 in #225
• [ADD] Add column transformer by @ravinkohli in #305
• [FIX] Minor Fixes by @ravinkohli in #306
• [Add] Dockerfile by @ravinkohli in #314
• [style] Remove prefix typing and adapt to google style doc by @nabenabe0928 in #307
• [ADD] Missing Batchnorm by @ravinkohli in #317
• [feat] Update automl_common and add setup.py for submodule by @nabenabe0928 in #324
• [FIX] Additional metrics during training by @ravinkohli in #316
• [ADD] Update developer documentation by @ravinkohli in #320
• [FIX] remove .pth for early stopping by @ravinkohli in #321
• [Add] documentation and example for parallel computation by @ravinkohli in #322
• [ADD] Documentation for data validation and preprocessing by @ravinkohli in #323
• [ADD] documentation for pipelines and steps by @ravinkohli in #329
• Final changes for v0.1.0 by @ravinkohli in #341

New Contributors

• @urbanmatthias made their first contribution in #1
• @jonathanburns made their first contribution in #36
• @thatch made their first contribution in #47
• @ntnguyen-dev made their first contribution in #43
• @dwoiwode made their first contribution in #73
• @daikikatsuragawa made their first contribution in #64
• @bastiscode made their first contribution in #81

Full Changelog: v0.0.2...v0.1.1