scikit-learn-contrib/MAPIE
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonTOML
Technical Skills
Code FormattingConfiguration ManagementDocumentationLintingPython DevelopmentTesting
GBrelurut
PROFILE
Gbrelurut
Geoffray Brelurut contributed to the scikit-learn-contrib/MAPIE repository by enhancing both documentation accuracy and code quality tooling. He updated the CRC test documentation to clearly reflect that a warning is raised when the estimator is None, reducing ambiguity for future contributors. To improve maintainability, he integrated Ruff into the linting workflow, refining the pyproject.toml configuration and excluding notebooks from lint checks. Working primarily with Python and TOML, Geoffray focused on code formatting, configuration management, and testing. His work addressed both a documentation bug and a tooling feature, demonstrating a methodical approach to reliability and developer onboarding within the project.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
18,105
Activity Months1
Your Network
15 peopleShared Repositories
15
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 for the scikit-learn-contrib/MAPIE repository, focusing on documentation accuracy and code quality tooling. Delivered two key improvements that strengthen reliability, maintainability, and developer productivity: 1) Documentation alignment for CRC test behavior, ensuring test delta_none_crc documentation reflects that a warning is raised when the estimator is None for the CRC method; 2) Code quality tooling upgrade with Ruff integration and lint-config refinements, including pyproject.toml updates and notebook exclusions. These efforts reduce miscommunication about behavior, standardize code style, and streamline contributor onboarding and reviews.
2 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 for the scikit-learn-contrib/MAPIE repository, focusing on documentation accuracy and code quality tooling. Delivered two key improvements that strengthen reliability, maintainability, and developer productivity: 1) Documentation alignment for CRC test behavior, ensuring test delta_none_crc documentation reflects that a warning is raised when the estimator is None for the CRC method; 2) Code quality tooling upgrade with Ruff integration and lint-config refinements, including pyproject.toml updates and notebook exclusions. These efforts reduce miscommunication about behavior, standardize code style, and streamline contributor onboarding and reviews.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability100.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTOML
Technical Skills
Code FormattingConfiguration ManagementDocumentationLintingPython DevelopmentTesting
Repositories Contributed To
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