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0.3.8

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@winedarksea winedarksea released this 17 Oct 20:57
· 1124 commits to master since this release
97176c3

Latest

  • add Transformer model to sklearn DNN models
  • expanded and tuned KerasRNN model options
  • added param space for RandomForest, ExtraTrees, Poisson, and RANSAC regressions
  • removed Tensorflow models from UnivariateRegression as it can cause a crash with GPU training
  • added create_regressor function
  • two new impute methods (KNNImputer, IterativeImputerExtraTrees), but only with "all" transformers
  • deletion of old TSFresh model, which was horribly slow and not going to get any faster
  • optimizing scalability by tuning transformer and imputation defaults
  • MultivariateRegression model (RollingRegression but 1d to models)
  • fix for generate_score_per_series bug with all zeroes series
  • bug fix for where horizontal ensembles failed if series_ids/column names were integers