pytimetk 2.2.1

Key Updates

augment_ewm Enhancements: Now supports passing a sequence of alpha values to compute multiple EWM columns in one call. Improved Polars integration and documentation.
augment_qsmomentum Fixes: Resolved issues with grouped Polars DataFrames, including proper handling of nulls and ensuring sufficient data length (at least max(roc_slow_period, returns_period)). Fixed AttributeError: 'DataFrame' object has no attribute 'to_list'.
GPU Acceleration Docs: Updated examples to demonstrate augment_rolling on Polars with GPU engine, including multi-symbol grouping.

Full Changelog: https://github.com/business-science/pytimetk/compare/v2.2.0...v2.2.1

augment_ewm Enhancements: Now supports passing a sequence of alpha values to compute multiple EWM columns in one call. Improved Polars integration and documentation.
augment_qsmomentum Fixes: Resolved issues with grouped Polars DataFrames, including proper handling of nulls and ensuring sufficient data length (at least max(roc_slow_period, returns_period)). Fixed AttributeError: 'DataFrame' object has no attribute 'to_list'.
GPU Acceleration Docs: Updated examples to demonstrate augment_rolling on Polars with GPU engine, including multi-symbol grouping.

Full Changelog: https://github.com/business-science/pytimetk/compare/v2.2.0...v2.2.1