pip install auto-sklearn==0.14.0
Automated machine learning.
SourceAmong top 2% packages on PyPI.
Over 80.1K downloads in the last 90 days.
auto-sklearn
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
A small Python library to limit the resources used by a function by executing it inside a subprocess. |
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SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'. |
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A bidirectional converter arff to pandas.DataFrame |
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Creation and manipulation of parameter configuration spaces for automated algorithm configuration and hyperparameter tuning. |
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A Python package which provides tools to convert files to and from IDX format (described at http://yann.lecun.com/exdb/mnist/) into numpy.ndarray. |
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Python State Machines for Humans |
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Light Time Series Toolbox |
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None |
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The interface between ROOT and NumPy |
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normalize effects from variant annotation tools (snpEff, VEP) |
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inheritance models for mendelian genetics |
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TensorFlow Addons. |
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A database framework for exploring genetic variation |
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Python API for OpenML |
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Tools for manipulating biological data, particularly multiple sequence alignments |
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Nose plugin that prints nicer dots grouped by class/module. |
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A Python library to communicate with a Red Hat Unified Entitlement Platform |
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Predict cancer epitopes from cancer sequence data |
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a tool to annotate human VCF files with PolyPhen2 effect measures |
auto-sklearn
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.14.0 |
22.25% |
0.13.0 |
21.41% |
0.12.7 |
13.01% |
0.12.6 |
4.26% |
0.11.1 |
2.76% |
0.12.0 |
2.67% |
0.12.3 |
2.46% |
0.12.5 |
1.98% |
0.10.0 |
1.84% |
0.12.4 |
1.81% |
0.12.1 |
1.72% |
0.12.2 |
1.68% |
0.8.0 |
1.60% |
0.6.0 |
1.46% |
0.11.0 |
1.46% |
0.9.0 |
1.42% |
0.5.2 |
1.42% |
0.7.0 |
1.36% |
0.7.1 |
1.31% |
0.5.0 |
1.21% |
0.5.1 |
1.20% |
0.4.2 |
1.18% |
0.4.1 |
1.16% |
0.4.0 |
1.15% |
0.3.0 |
1.14% |