Added
- BinsegTrendTransform, ChangePointsTrendTransform (#87)
- Interactive plot for anomalies (#95)
- Examples to TSDataset methods with doctest (#92)
- WandbLogger (#71)
- Pipeline (#78)
- Sequence anomalies (#96), Histogram anomalies (#79)
- 'is_weekend' feature in DateFlagsTransform (#101)
- Documentation example for models and note about inplace nature of forecast (#112)
- Property regressors to TSDataset (#82)
- Clustering (#110)
- Outliers notebook (#123))
- Method inverse_transform in TimeSeriesImputerTransform (#135)
- VotingEnsemble (#150)
- Forecast command for cli (#133)
- MyPy checks in CI/CD and lint commands (#39)
- TrendTransform (#139)
- Running notebooks in ci (#134)
- Cluster plotter to EDA (#169)
- Pipeline.backtest method (#161, #192)
- STLTransform class (#158)
- NN_examples notebook (#159)
- Example for ProphetModel (#178)
- Instruction notebook for custom model and transform creation (#180)
- Add inverse_transform in *OutliersTransform (#160)
- Examples for CatBoostModelMultiSegment and CatBoostModelPerSegment (#181)
Changed
- Delete offset from WindowStatisticsTransform (#111)
- Add Pipeline example in Get started notebook (#115)
- Internal implementation of BinsegTrendTransform (#141)
- Colorebar scaling in Correlation heatmap plotter (#143)
- Add Correlation heatmap in EDA notebook (#144)
- Add
__repr__for Pipeline (#151) - Defined random state for every test cases (#155)
- Add confidence intervals to Prophet (#153)
- Add confidence intervals to SARIMA (#172)