Feat/models

[dawidlinek]

@copilot review and write summary

[Copilot]

Pull request overview

This PR introduces a models framework for energy price forecasting, including OLS and Lasso CV implementations with a StandardScaler for data preprocessing. However, the PR contains several critical issues that will prevent the package from being installable or functional, including missing dependencies, references to non-existent modules, and requirements for unreleased software versions.

Key changes:

• Adds BaseModel abstract class with OLSModel and LassoCVModel implementations for time-series forecasting
• Implements StandardScaler for feature and target normalization with binary feature detection
• Updates Python requirement to 3.14 and NumPy to 2.2.0 (both unreleased versions)

Reviewed changes

Copilot reviewed 10 out of 12 changed files in this pull request and generated 11 comments.

Show a summary per file

File	Description
uv.lock	Adds dependency lock file with package versions, some with future dates
pyproject.toml	Updates Python requirement to 3.14 and NumPy to 2.2.0 (non-existent versions)
.python-version	Changes Python version to 3.14t (non-existent experimental build)
.gitignore	Adds results/ directory to gitignore
epftoolbox2/models/base.py	Implements abstract base model with parallel execution, imports missing ResultStore module
epftoolbox2/models/ols.py	Implements OLS model using sklearn (missing dependency)
epftoolbox2/models/lasso.py	Implements Lasso CV model using sklearn (missing dependency)
epftoolbox2/models/init.py	Exports model classes
epftoolbox2/scalers/standard.py	Implements standard scaler with binary detection
epftoolbox2/scalers/init.py	Exports StandardScaler class
tests/scalers/test_standard.py	Comprehensive tests for StandardScaler functionality
tests/models/test_models.py	Comprehensive tests for model implementations

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.