Quantco/glum
Dec 2024 – Apr 2025
3 Months active
Languages Used
TOMLYAMLMarkdownPython
Technical Skills
Build SystemsCI/CDPython PackagingDocumentationMachine LearningNumerical Computing
Marc-Antoine Schmidt
PROFILE
Marc-antoine Schmidt
Marc-Antoine Schmidt contributed to the Quantco/glum repository by enhancing both build reliability and model selection robustness. He migrated the macOS Python wheel build process to micromamba, improving environment management and compatibility with modern toolchains, and updated the target OS version to reduce CI failures. In documentation, he integrated a Zenodo DOI badge into the README using Markdown and Git, supporting discoverability and citation. Schmidt also refined the GeneralizedLinearRegressor’s alpha selection logic in Python, implementing a numerically stable search and expanding test coverage for edge cases. His work demonstrated depth in build systems, machine learning, and Python packaging over three months.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
39
Activity Months3
Your Network
23 people
Work History
April 2025
1 Commits
Apr 1, 2025April 2025: Focused on strengthening model selection reliability for GeneralizedLinearRegressor in Quantco/glum. Implemented a robust alpha index search, improving numerical stability and ensuring the closest alpha is selected even for zero and very small values. Expanded test coverage to validate edge cases including zero and near-zero alphas. These changes reduce regression risk and provide a more dependable hyperparameter tuning process for GLM models, enabling clearer performance signals and more consistent production results.
1 Commits
Apr 1, 2025April 2025: Focused on strengthening model selection reliability for GeneralizedLinearRegressor in Quantco/glum. Implemented a robust alpha index search, improving numerical stability and ensuring the closest alpha is selected even for zero and very small values. Expanded test coverage to validate edge cases including zero and near-zero alphas. These changes reduce regression risk and provide a more dependable hyperparameter tuning process for GLM models, enabling clearer performance signals and more consistent production results.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements: Key features delivered: - README DOI Badge (Zenodo) for Discoverability: Added a Zenodo DOI badge to the Quantco/glum README to provide a persistent identifier and improve discoverability and citation. Commit: e4c0173af153c3a2cc64c1e767574bda91c813a0 (message: "Add doi to readme (#915)"). Major bugs fixed: - No major bugs fixed in Quantco/glum during this month. Overall impact and accomplishments: - Improved discoverability and citation readiness for the project, enabling researchers to reference the exact software version via a persistent DOI. - Strengthened project metadata and open science alignment with minimal changes to the codebase. Technologies/skills demonstrated: - Git/version control, Markdown modifications, and Zenodo DOI integration; clear traceability to issue #915; enhanced collaboration and documentation practices.
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements: Key features delivered: - README DOI Badge (Zenodo) for Discoverability: Added a Zenodo DOI badge to the Quantco/glum README to provide a persistent identifier and improve discoverability and citation. Commit: e4c0173af153c3a2cc64c1e767574bda91c813a0 (message: "Add doi to readme (#915)"). Major bugs fixed: - No major bugs fixed in Quantco/glum during this month. Overall impact and accomplishments: - Improved discoverability and citation readiness for the project, enabling researchers to reference the exact software version via a persistent DOI. - Strengthened project metadata and open science alignment with minimal changes to the codebase. Technologies/skills demonstrated: - Git/version control, Markdown modifications, and Zenodo DOI integration; clear traceability to issue #915; enhanced collaboration and documentation practices.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 — Quantco/glum: Improved macOS Python wheel build stability and compatibility by migrating environment management to micromamba and adjusting the macOS target OS version. This reduces build failures on newer toolchains and simplifies maintenance for CI pipelines. No major bugs fixed this month; primary focus was delivering a robust, future-proof wheel build process. Key tech: micromamba, macOS build tooling, Python wheel packaging.
1 Commits • 1 Features
Dec 1, 2024December 2024 — Quantco/glum: Improved macOS Python wheel build stability and compatibility by migrating environment management to micromamba and adjusting the macOS target OS version. This reduces build failures on newer toolchains and simplifies maintenance for CI pipelines. No major bugs fixed this month; primary focus was delivering a robust, future-proof wheel build process. Key tech: micromamba, macOS build tooling, Python wheel packaging.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonTOMLYAML
Technical Skills
Build SystemsCI/CDDocumentationMachine LearningNumerical ComputingPython PackagingSoftware Development
Repositories Contributed To
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