0.1.0 - 2019-05-08

• PyPI
• GitHub

base

• Removed the fit_predict_one estimator method.
• Removed the fit_predict_proba_one estimator method.
• Removed the fit_transform_one estimator method.

compat

• Added compat.convert_sklearn_to_river.
• compat.convert_river_to_sklearn now returns an sklearn.pipeline.Pipeline when provided with a compose.Pipeline.

compose

• Added compose.Discard.
• Added compose.Select.
• Added compose.SplitRegressor.
• The draw method of compose.Pipeline now works properly for arbitrary amounts of nesting, including multiple nested compose.FeatureUnion.

datasets

• Added datasets.fetch_electricity.

dummy

• Added dummy.NoChangeClassifier.
• Added dummy.PriorClassifier.
• Added dummy.StatisticRegressor.

feature_extraction

• Added feature_extraction.Differ.
• Renamed feature_extraction.GroupBy to feature_extraction.Agg.
• Renamed feature_extraction.TargetGroupBy to feature_extraction.TargetAgg.

feature_selection

• Added feature_selection.SelectKBest.
• Added feature_selection.VarianceThreshold.

impute

• Added impute.StatImputer.
• Removed impute.CategoricalImputer.
• Removed impute.NumericImputer.

linear_model

• Added linear_model.PAClassifier.
• Added linear_model.PARegressor.
• Added linear_model.SoftmaxRegression.

metrics

• Added metrics.ConfusionMatrix.
• Added metrics.CrossEntropy.
• Added metrics.MacroF1.
• Added metrics.MacroPrecision.
• Added metrics.MacroRecall.
• Added metrics.MicroF1.
• Added metrics.MicroPrecision.
• Added metrics.MicroRecall.
• Each metric now has a bigger_is_better property to indicate if a high value is better than a low one or not.

optim

• Added optim.OptimalLR.
• Added optim.CrossEntropy.
• Removed optim.PassiveAggressiveI.
• Removed optim.PassiveAggressiveII.

preprocessing

• Removed preprocessing.Discarder.
• Added on and sparse parameters to preprocessing.OneHotEncoder.

stats

• Added stats.Covariance.
• Added stats.PearsonCorrelation.
• Added stats.SmoothMean.

utils

• Added utils.check_estimator.
• Added utils.Histogram.
• Added utils.SortedWindow.
• Added utils.Window.