- Added TP_ACE.pdf to the project.
- Introduced perf_circle.csv containing performance circle data.
- Added test_lissage.csv with test data for smoothing.
- Updated pyproject.toml to include statsmodels as a dependency.
- Modified uv.lock to reflect the addition of statsmodels and its dependencies.
- Updated pyproject.toml to include langchain-text-splitters version >=1.1.0 in dependencies.
- Modified uv.lock to add langchain-text-splitters in both dependencies and requires-dist sections.
- Bump Python version from 3.11 to 3.13 in .python-version file.
- Reset execution counts to null in Jupyter Notebook for reproducibility.
- Improve code readability by adjusting comments and formatting in the notebook.
- Change the policy definition to use numpy.ndarray for better clarity.
- Modify pyproject.toml to enable E501 rule for line length management.
- Updated error messages in Gauss method and numerical methods to use variables for better readability.
- Added return type hints to function signatures in various notebooks to improve code documentation.
- Corrected minor grammatical issues in docstrings for better clarity.
- Adjusted print statements and list concatenations for improved output formatting.
- Enhanced plotting functions to ensure consistent figure handling.
- Added missing commas in various print statements and function calls for better syntax.
- Reformatted code to enhance clarity, including breaking long lines and aligning parameters.
- Updated function signatures to use float type for sigma parameters instead of int for better precision.
- Cleaned up comments and documentation strings for clarity and consistency.
- Ensured consistent formatting in plotting functions and data handling.
- Added xgboost version 3.1.2 to pyproject.toml dependencies.
- Updated uv.lock to include xgboost package with its dependencies and wheel URLs.
- Added nvidia-nccl-cu12 package to uv.lock for compatibility with xgboost on specific platforms.
