MLBlocks:用于组成端到端可调机器学习管道的库
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2021-05-06
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MLBlocks-master.zip （66个子文件） 
MLBlocks-master 
MANIFEST.in 299B mlblocks discovery.py 14KB mlblock.py 12KB __init__.py 1014B mlpipeline.py 53KB docs advanced_usage pipelines.rst 17KB primitives.rst 12KB adding_primitives.rst 4KB hyperparameters.rst 8KB images 
mlblocks-logo-small.png 4KB mlblocks-logo.png 12KB mlblocks-icon.png 437B favicon.ico 4KB conf.py 6KB make.bat 770B api mlblocks.rst 58B getting_started quickstart.rst 4KB install.rst 1KB changelog.rst 29B pipeline_examples image.rst 5KB multi_table.rst 2KB text.rst 5KB graph.rst 3KB single_table.rst 3KB authors.rst 28B Makefile 609B index.rst 4KB contributing.rst 33B HISTORY.md 6KB AUTHORS.rst 268B .github ISSUE_TEMPLATE.md 319B workflows docs.yml 568B tests.yml 2KB CONTRIBUTING.rst 8KB tests features test_pipeline_loading.py 3KB test_partial_outputs.py 4KB test_fit_predicr_args.py 845B data diagrams 
diagram_fit.txt 1KB diagram_multiple_blocks.txt 1KB diagram_simple.txt 1KB test_mlpipeline.py 36KB __init__.py 0B test_mlblock.py 15KB test_discovery.py 10KB tox.ini 385B LICENSE 1KB setup.cfg 1KB apt.txt 80B requirements.txt 126B examples pipelines single_table.classification.categorical_encoder.xgboost.json 446B primitives mlblocks.examples.function_primitive.json 3KB mlblocks.examples.ClassPrimitive.json 4KB tutorials 7. Tuning a Pipeline.ipynb 12KB 3. Setting MLPipeline Hyperparameters.ipynb 12KB 4. Saving and Loading a Pipeline.ipynb 4KB 2. Finding and Loading a Pipeline.ipynb 5KB 6. Flexible outputs specification.ipynb 14KB 5. Partial execution and pipeline debugging.ipynb 20KB 8. Searching for the best pipeline with BTBSession.ipynb 31KB 1. Using and MLPipeline.ipynb 17KB README.md 2KB setup.py 3KB .gitignore 1KB Makefile 8KB README.md 6KB .editorconfig 292B资源评论
