pip install eli5==0.11.0
Debug machine learning classifiers and explain their predictions
SourceAmong top 1000 packages on PyPI.
Over 3.3M downloads in the last 90 days.
eli5
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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A workflow for contributing company knowledge, in the form of RMarkdowns, iPythons, and Markdowns, rendered and organized to magnify research impact across teams and time |
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Uniform Manifold Approximation and Projection |
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Least squares anomaly detection. |
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Time everything in IPython |
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Utility tool belt for Kaggle competitions and other Data Science experiments |
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pyvista qt plotter |
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Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file. |
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Simple utilties to explore the Gnip search API |
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Catboost Python Package |
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Analysis tools for genomic interaction data stored in .cool format |
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Python package for stacking (machine learning technique) |
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Use evolutionary algorithms instead of gridsearch in scikit-learn. |
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None |
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Python module for time-frequency analysis. |
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LiPD utilities to process, convert, and analyze data. |
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Command Line Interface (CLI) and client to interact with Polyaxon API. |
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An implementation of the Chinese Whispers clustering algorithm. |
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sinfo outputs version information for modules loaded in the current session, Python, and the OS. |
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Human-friendly HSL |
eli5Proportion of downloaded versions in the last 3 months (only versions over 1%).
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0.11.0 |
90.19% |
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0.10.1 |
4.50% |
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0.8.1 |
2.47% |
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0.8 |
2.08% |