Feat/model pipeline

[dawidlinek]

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Pull request overview

This PR implements a comprehensive model pipeline feature for running multiple forecasting models, evaluating their performance, and exporting results. The implementation includes an evaluation framework with metrics, exporters for terminal and Excel output, and a pipeline orchestrator.

Key Changes:

• Added ModelPipeline class for orchestrating model training and evaluation
• Implemented evaluation framework with pluggable Evaluator interface and MAE metric
• Created EvaluationReport for aggregating and analyzing results by hour, horizon, and year
• Added Terminal and Excel exporters with conditional formatting support
• Updated dependencies to include openpyxl for Excel export and scikit-learn

Reviewed changes

Copilot reviewed 13 out of 14 changed files in this pull request and generated 6 comments.

Show a summary per file

File	Description
uv.lock	Updated Python version requirement from 3.14 to 3.10, added openpyxl, scikit-learn with platform-specific wheels
pyproject.toml	Added openpyxl>=3.1.0 dependency
epftoolbox2/evaluators/base.py	Base abstract class for metric evaluators
epftoolbox2/evaluators/mae.py	MAE (Mean Absolute Error) evaluator implementation
epftoolbox2/exporters/base.py	Base abstract class for result exporters
epftoolbox2/exporters/terminal.py	Rich terminal table exporter with configurable views
epftoolbox2/exporters/excel.py	Excel exporter with pivot tables and color-coded heatmaps
epftoolbox2/results/report.py	Evaluation report aggregator with multiple grouping dimensions
epftoolbox2/pipelines/model_pipeline.py	Pipeline orchestrator for running models and generating reports
tests/test_evaluation.py	Unit tests for MAEEvaluator and EvaluationReport

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