AutoPrognosis 0.1.11 Release Notes

Changelog:

• Add readthedocs link https://autoprognosis.readthedocs.io/en/latest/
• Improve docstrings

AutoPrognosis 0.1.10 Release Notes

Changelog:

• Add fit API call for the studies. Returns a trained model directly.
• Random states bugfixing for studies, explainers etc.
• Add feature_selection parameters to the studies.
• sklearn params bugfixing: RF, bagging, adaboost, version 1.2
• update default imputers: [ice, missforest, hyperimpute, mean]
• data_cleanup plugin: drop constant features, high VIF features(multicollinearity). Added by default before the prediction layer.
• Data Encoding bugfixing: handle missing/unseen values.
• update env variables:
  • N_LEARNERS_JOBS : number of CPUs to use by base learners
  • N_OPT_JOBS: number of CPUs to use for hyperparam search
  • REDIS_HOST : Redis IP address. useful when running in distributed clusters.
  • REDIS_PORT : Redis port.
• Update HyperImpute
• Add evaluation tools for multiple seeds.

Tutorials:

• add MICE tutorial
• add categorical imputation tutorial
• add serialization tutorial

AutoPrognosis 0.1.9 Release Notes

Changelog(#40):

• fix StackingEnsemble crash(#17)
• Improve errors for not fitted models

AutoPrognosis 0.1.8 Release Notes

Changelog:

• feat: add option for stratified CV(thanks @HLasse )

AutoPrognosis 0.1.6 Release Notes

Changelog:

• R support: examples + tests
• Bugfixing
• KNearestNeighbor regressor

AutoPrognosis 0.1.5 Release Notes

XGB 1.7 compatibility
Update CI crons.

AutoPrognosis 0.1.4 Release Notes

Changelog:

• HyperBand optimizer
• Regression studies

AutoPrognosis 0.1.3 Release Notes

v0.1.3

Update README.md

AutoPrognosis 0.1.2 Release Notes

Changelog:

• more tutorials

AutoPrognosis 0.1.1 Release Notes

First release: base models, tests