2.0.1

Full Changelog: 2.0.0...2.0.1

2.0.0

What's Changed

• feature(Loop): added trim_initial_period_after_preprocessing option, set disable_memory to True by default by @almostintuitive in #532
• update from internal repo by @almostintuitive in #533

Full Changelog: 1.0.9...2.0.0

1.0.9

What's Changed

• fix(Loop): also added project_hyperparameters to TrainedPipelineCard by @almostintuitive in #531

Full Changelog: 1.0.8...1.0.9

1.0.8

What's Changed

• feature(Models): omit feature importances in Artifact during .fit() by @almostintuitive in #529
• feature(Loop): added & propagate new project_hyperparameters property to Composite.Metadata by @almostintuitive in #530

Full Changelog: 1.0.7...1.0.8

1.0.7

What's Changed

• fix(Inference): Metadata's name is unified across training/inference by @almostintuitive in #528

Full Changelog: 1.0.6...1.0.7

1.0.6

What's Changed

• fix(Inference): set Composite.Metadata correctly for preprocessing pipeline by @almostintuitive in #527

Full Changelog: 1.0.5...1.0.6

1.0.5

What's Changed

• fix(Events): added FixedForwardWindowIndexerNoTruncation class, make sure truncate_if_timeframe_is_smaller==True outputs numbers instead of nans for the right tail of the time series by @almostintuitive in #526

Full Changelog: 1.0.4...1.0.5

1.0.4

What's Changed

• chore(Composites): remove unsupported Cache Composite by @almostintuitive in #524
• feature(Events): truncate_if_timeframe_is_smaller to FixedForwardHorizon by @almostintuitive in #525

Full Changelog: 1.0.3...1.0.4

1.0.3

What's Changed

• fix(Loop): remove standalone sample_weights parameter, rely exclusively on events' sample weights by @almostintuitive in #523

Full Changelog: 1.0.2...1.0.3

1.0.2

What's Changed

• fix(Wrappers): use get_params(deep=False), reduce number of redundant code in WrapLGBM & WrapXGB by @almostintuitive in #522

Full Changelog: 1.0.1...1.0.2