scikit-learn-contrib/MAPIE
Nov 2025 – Nov 2025
1 Month active
Languages Used
PythonreStructuredTextrst
Technical Skills
Code quality assuranceDependency managementPythonPython developmentdata sciencedocumentation
HannesMK
PROFILE
Hannesmk
Contributed to the scikit-learn-contrib/MAPIE repository by enhancing the robustness of BlockBootstrap cross-validation, ensuring all non-training samples are included in test sets and handling incomplete blocks by using the last available samples. Updated and expanded test coverage to prevent regressions and maintain evaluation accuracy. Improved project documentation and contributor records to reflect recent changes, supporting clearer collaboration. Upgraded development tooling by adding Ruff to the dev dependencies, strengthening code quality checks during development. Work focused on Python and reStructuredText, emphasizing code quality assurance, dependency management, and maintainability to support reliable machine learning model evaluation and efficient team workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
28
Activity Months1
Your Network
20 peopleShared Repositories
20
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Adrien Le CozMember
Brijesh ThummarMember
L. Elaine DazzioMember
FaustinPulvericMember
GBrelurutMember
sd29206Member
Imran AhamedMember
jawadhussein462Member
Work History
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025 MAPIE contributions focused on robustness, quality, and documentation to support reliable model evaluation and scalable collaboration. Delivered a BlockBootstrap cross-validation fix that ensures test sets include all non-training samples and uses the last samples when blocks are incomplete, with tests updated to prevent regressions. Updated project documentation and contributor records to reflect recent contributions. Upgraded development tooling by adding Ruff to dev dependencies to improve code quality checks during development. These changes enhance evaluation reliability, developer productivity, and project maintainability, aligning with our goals of robust ML validation and efficient collaboration.
5 Commits • 2 Features
Nov 1, 2025November 2025 MAPIE contributions focused on robustness, quality, and documentation to support reliable model evaluation and scalable collaboration. Delivered a BlockBootstrap cross-validation fix that ensures test sets include all non-training samples and uses the last samples when blocks are incomplete, with tests updated to prevent regressions. Updated project documentation and contributor records to reflect recent contributions. Upgraded development tooling by adding Ruff to dev dependencies to improve code quality checks during development. These changes enhance evaluation reliability, developer productivity, and project maintainability, aligning with our goals of robust ML validation and efficient collaboration.
November 2025
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonreStructuredTextrst
Technical Skills
Code quality assuranceDependency managementPythonPython developmentdata sciencedocumentationmachine learningversion control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline