feature: Add ForwardLookingFilter to label_tuning utils#14
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…ce new filtering and shifting classes - Updated `BaseLabelTuner` to `BasePostprocessor` and added `ForwardLookingFilter` and `Shifter` classes for enhanced label processing. - Implemented `verify_time_series_and_labels` function for input validation in `BasePostprocessor`. - Enhanced `RemainingValueTuner` to support a list of postprocessors, allowing for flexible processing pipelines. - Added comprehensive docstrings and type hints for improved documentation and code quality. - Introduced `filtering.py` and `shifting.py` modules to encapsulate new filtering and shifting functionalities.
…ardLookingFilter and Shifter post-processor - Introduced `test_filtering.py` to validate the functionality of `ForwardLookingFilter` with various scenarios, including edge cases and input validation. - Created `test_shifting.py` to test the `Shifter` class, ensuring correct behavior for forward and backward shifts, as well as handling invalid constructor inputs. - Updated `test_remaining_value_tuner.py` to support a list of postprocessors in the tuning process, enhancing flexibility in the testing framework.
… postprocessors - Updated examples in `examples.rst` to include detailed descriptions of optional postprocessors for the `RemainingValueTuner`, such as `ForwardLookingFilter`, `Shifter`, and various smoothing techniques. - Revised `notebook_examples.rst` to reflect the inclusion of postprocessor pipelines in the label tuning example. - Expanded `tstrends.label_tuning.rst` to document the new filtering and shifting modules, providing clarity on their usage and functionality. - Added references to the new modules in the API documentation to improve discoverability and understanding of the label tuning process.
…s and dependencies
…er and ForwardLookingFilter
…naryTrendLabeller
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