scikit-learn-contrib/MAPIE
Apr 2025 – Sep 2025
6 Months active
Languages Used
Jupyter NotebookPythonRSTreStructuredTextrstMakefileJSON
Technical Skills
API DevelopmentAPI IntegrationAPI RefactoringCode ConsistencyCode RefactoringCode Renaming
FaustinPulveric
PROFILE
Faustinpulveric
Faustin Pulveric contributed to the scikit-learn-contrib/MAPIE repository over six months, focusing on API modernization, risk-control feature development, and documentation quality. He led the migration to a stable v1 API, refactoring interfaces for consistency and updating tutorials and examples to reduce onboarding friction. Using Python and Sphinx, Faustin improved code organization, standardized naming, and enhanced test reliability through CI/CD integration. He also expanded documentation on risk-control methods, clarifying their applicability and guarantees for safer production use. His work demonstrated depth in technical writing, code refactoring, and scientific integration, resulting in a more maintainable and accessible MAPIE library.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
46Total
Bugs
3
Commits
46
Features
12
Lines of code
15,588
Activity Months6
Your Network
66 peopleSame Organization
@capgemini.com51
Shared Repositories
15
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 MAPIE monthly summary focusing on risk-control documentation improvements to support clearer usage and safer integration in production. Key capture: Strengthened documentation around risk control by explaining applicability to metrics beyond precision (e.g., recall) and by distinguishing risk-control methods (CRC, RCPS, LTT) based on their underlying assumptions and guarantees, improving clarity and accuracy of the documented methodologies.
1 Commits • 1 Features
Sep 1, 2025September 2025 MAPIE monthly summary focusing on risk-control documentation improvements to support clearer usage and safer integration in production. Key capture: Strengthened documentation around risk control by explaining applicability to metrics beyond precision (e.g., recall) and by distinguishing risk-control methods (CRC, RCPS, LTT) based on their underlying assumptions and guarantees, improving clarity and accuracy of the documented methodologies.
September 2025
August 2025
8 Commits • 2 Features
Aug 1, 2025MAPIE monthly summary for 2025-08: Focused on documentation quality and test stability, delivering clearer guidance for risk-control features and strengthening test reliability across versions.
August 2025
8 Commits • 2 Features
Aug 1, 2025MAPIE monthly summary for 2025-08: Focused on documentation quality and test stability, delivering clearer guidance for risk-control features and strengthening test reliability across versions.
July 2025
6 Commits • 1 Features
Jul 1, 2025MAPIE Monthly Summary - July 2025: Delivered a critical bug fix for double inference in predict_set and completed a focused round of documentation and compatibility updates to enhance reliability, onboarding, and release readiness. Key work included updating HISTORY and release notes, aligning docstrings with implementation, removing outdated setup steps, and updating Python version support. These improvements reduce prediction errors, improve user clarity, and streamline future releases.
6 Commits • 1 Features
Jul 1, 2025MAPIE Monthly Summary - July 2025: Delivered a critical bug fix for double inference in predict_set and completed a focused round of documentation and compatibility updates to enhance reliability, onboarding, and release readiness. Key work included updating HISTORY and release notes, aligning docstrings with implementation, removing outdated setup steps, and updating Python version support. These improvements reduce prediction errors, improve user clarity, and streamline future releases.
July 2025
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 MAPIE monthly summary: Documentation-focused month delivering reader-focused improvements, improved accessibility and risk management guidance for users integrating MAPIE with LLMs. Key outcomes include a dark-mode rendering fix for the educational visual, expanded LLM risk control guidance in documentation (FAQs, guardrails, conformal predictions, and references), and clearer release notes and README examples to support onboarding and safe usage. These efforts reduce onboarding time, increase user confidence, and reinforce MAPIE's commitment to safe, auditable risk control tooling.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 MAPIE monthly summary: Documentation-focused month delivering reader-focused improvements, improved accessibility and risk management guidance for users integrating MAPIE with LLMs. Key outcomes include a dark-mode rendering fix for the educational visual, expanded LLM risk control guidance in documentation (FAQs, guardrails, conformal predictions, and references), and clearer release notes and README examples to support onboarding and safe usage. These efforts reduce onboarding time, increase user confidence, and reinforce MAPIE's commitment to safe, auditable risk control tooling.
May 2025
12 Commits • 4 Features
May 1, 2025May 2025 MAPIE monthly summary: The team focused on delivering a clear, stable v1 API experience through comprehensive migrations, API standardization, and documentation improvements, enabling smoother adoption and reducing long-term maintenance. The work enhances developer experience and business value by aligning tutorials, examples, and docs with the v1 API, reducing onboarding friction for users and contributors, and strengthening API stability for downstream projects.
12 Commits • 4 Features
May 1, 2025May 2025 MAPIE monthly summary: The team focused on delivering a clear, stable v1 API experience through comprehensive migrations, API standardization, and documentation improvements, enabling smoother adoption and reducing long-term maintenance. The work enhances developer experience and business value by aligning tutorials, examples, and docs with the v1 API, reducing onboarding friction for users and contributors, and strengthening API stability for downstream projects.
May 2025
April 2025
14 Commits • 2 Features
Apr 1, 2025April 2025 MAPIE development focused on API consistency, v1 compatibility, and documentation-driven migration readiness across the scikit-learn-contrib/MAPIE repository. Key features delivered include API naming and interface alignment with MAPIE v1 (confidence_level usage, regression_coverage_score rename), TimeSeries API refactor, and multi-level support in mean width calculations. Mondrian API modernization was completed (removing MondrianCP and adopting SplitConformalRegressor) and tutorials updated to clarify group-conditional coverage. Comprehensive documentation improvements and a v1 migration guide were released to reduce onboarding friction and improve maintainability.
April 2025
14 Commits • 2 Features
Apr 1, 2025April 2025 MAPIE development focused on API consistency, v1 compatibility, and documentation-driven migration readiness across the scikit-learn-contrib/MAPIE repository. Key features delivered include API naming and interface alignment with MAPIE v1 (confidence_level usage, regression_coverage_score rename), TimeSeries API refactor, and multi-level support in mean width calculations. Mondrian API modernization was completed (removing MondrianCP and adopting SplitConformalRegressor) and tutorials updated to clarify group-conditional coverage. Comprehensive documentation improvements and a v1 migration guide were released to reduce onboarding friction and improve maintainability.
Activity
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Quality Metrics
Correctness97.4%
Maintainability96.4%
Architecture95.6%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMakefilePythonRSTreStructuredTextrst
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI RefactoringCI/CDCode CleanupCode ConsistencyCode OrganizationCode RefactoringCode RenamingConformal PredictionData AnalysisData ScienceData VisualizationDebugging
Repositories Contributed To
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