Package · PyPI

piml

PyPI · v0.6.0.post2 · Apache

A low-code interpretable machine learning toolbox in Python.

Install

pip install piml

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.29
DerivedRelease cadence and recency, 0 to 1
Releases per year
19
34 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.6.0.post2
34 versions
First published
MAY 13, 2022
Last release
MAR 1, 2024
3y ago
Licence
Apache

Repository

In the Crest catalog

SelfExplainML/PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Stars
1.3K
Forks
135
Language
Jupyter Notebook
Last push
19mo ago
Last release
3y ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.6.0.post2

Runtime 26

  • dill>=0.3.6
  • ipykernelAny version
  • ipython>=7.12.0
  • ipywidgets>=7.7.0
  • joblib>=1.1.0
  • jupyter-client<=7.4.9
  • lime>=0.2.0.1
  • matplotlib<3.8.0,>=3.1.2
  • momentchi2Any version
  • natsort>=8.2.0
  • networkx>=2.6.3
  • numba<0.57.0
  • numpy<1.24.0,>=1.21.4
  • optbinning>=0.17.3
  • packaging>=20.5
  • pandas<2.0.0,>=1.3.5
  • psutil>=5.9.0
  • pygam==0.8.0
  • scikit-learn<1.4.0,>=0.24.2
  • scipy<=1.10.1,>=1.5.3
  • seaborn>=0.11.2
  • shap>=0.39.0
  • statsmodels>=0.12.2
  • torch>=1.11.0
  • xgboost>=1.4.2
  • xlrd>=1.2.0

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