:bomb: PRE-release 1.2.0-alpha.0

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)

Fixed

• Set default value of TSDataset.head method (#170)
• Categorical and fillna issues with pandas >=1.2 (#190)