https://github.com/IBM/AutoMLPipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.
https://github.com/IBM/AutoMLPipeline.jl

automl chaining classification data-mining data-mining-algorithms data-science ensemble-learning julia machine-learning machine-learning-models pipeline pipeline-optimization pipeline-structure scikitlearn-wrapper stacking symbolic-expressions symbolic-pipeline

Last synced: about 14 hours ago
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A package that makes it trivial to create and evaluate machine learning pipeline architectures.

• Host: GitHub
• URL: https://github.com/IBM/AutoMLPipeline.jl
• Owner: IBM
• License: mit
• Created: 2020-02-25T15:46:12.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-28T21:50:25.000Z (16 days ago)
• Last Synced: 2024-10-28T22:33:21.644Z (16 days ago)
• Topics: automl, chaining, classification, data-mining, data-mining-algorithms, data-science, ensemble-learning, julia, machine-learning, machine-learning-models, pipeline, pipeline-optimization, pipeline-structure, scikitlearn-wrapper, stacking, symbolic-expressions, symbolic-pipeline
• Language: Julia
• Homepage:
• Size: 21.5 MB
• Stars: 359
• Watchers: 12
• Forks: 29
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-sciml - IBM/AutoMLPipeline.jl: A package that makes it trivial to create and evaluate machine learning pipeline architectures.