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Feature: Implement series-specific model selection using meta-features #1211

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Feature: Implement series-specific model selection using meta-features

  • Enhanced AbstractData to support subsetting of data based on specified series.
  • Introduced MetaSelector class to select the best forecasting model based on pre-learned meta-rules.
  • Updated ForecastOperatorModelFactory to utilize MetaSelector for AUTO_SELECT_SERIES.
  • Modified HistoricalData and AdditionalData classes to accept a subset parameter for filtering.
  • Added new schema option for auto-selecting series in the forecast configuration.
  • Improved data loading functions to handle subsetting effectively.
  • Refactored model report generation to ensure unique filenames for outputs.

- Enhanced AbstractData to support subsetting of data based on specified series.
- Introduced MetaSelector class to select the best forecasting model based on pre-learned meta-rules.
- Updated ForecastOperatorModelFactory to utilize MetaSelector for AUTO_SELECT_SERIES.
- Modified HistoricalData and AdditionalData classes to accept a subset parameter for filtering.
- Added new schema option for auto-selecting series in the forecast configuration.
- Improved data loading functions to handle subsetting effectively.
- Refactored model report generation to ensure unique filenames for outputs.
@codeloop codeloop requested a review from prasankh June 20, 2025 00:56
@oracle-contributor-agreement oracle-contributor-agreement bot added the OCA Verified All contributors have signed the Oracle Contributor Agreement. label Jun 20, 2025
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