Group :: Development/Python3
RPM: python3-module-combo
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Current version: 0.1.0-alt1
Build date: 27 february 2021, 12:57 ( 165.0 weeks ago )
Size: 1931.00 Kb
Home page: https://github.com/yzhao062/combo
License: MIT
Summary: A Python Toolbox for Machine Learning Model Combination
Description:
List of contributors List of rpms provided by this srpm:
ACL:
Build date: 27 february 2021, 12:57 ( 165.0 weeks ago )
Size: 1931.00 Kb
Home page: https://github.com/yzhao062/combo
License: MIT
Summary: A Python Toolbox for Machine Learning Model Combination
Description:
combo is a comprehensive Python toolbox for combining machine learning (ML) models and scores.
Model combination can be considered as a subtask of ensemble learning,
and has been widely used in real-world tasks and data science competitions like Kaggle.
combo has been used/introduced in various research works since its inception [7] [11].
combo library supports the combination of models and score from key ML libraries such as scikit-learn, xgboost, and LightGBM,
for crucial tasks including classification, clustering, anomaly detection.
Current maintainer: Vitaly Lipatov Model combination can be considered as a subtask of ensemble learning,
and has been widely used in real-world tasks and data science competitions like Kaggle.
combo has been used/introduced in various research works since its inception [7] [11].
combo library supports the combination of models and score from key ML libraries such as scikit-learn, xgboost, and LightGBM,
for crucial tasks including classification, clustering, anomaly detection.
List of contributors List of rpms provided by this srpm:
- python3-module-combo