PRAXIS computes exact and approximate Rashomon sets of decision trees, individual high-quality trees, and variable importance over the full set of good models.

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  • License: MIT
  • Author: Zakk Heile, Hayden McTavish, Varun Babbar, Margo Seltzer, Cynthia Rudin
  • Tags interpretable machine learning , decision trees , rashomon set , optimization , variable importance
  • Requires: Python >=3.9
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  • License: MIT
  • Author: Zakk Heile, Hayden McTavish, Varun Babbar, Margo Seltzer, Cynthia Rudin
  • Tags interpretable machine learning , decision trees , rashomon set , optimization , variable importance
  • Requires: Python >=3.9
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0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

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0.0.18

0.0.17

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0.0.15

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The following attestation bundles were made for tree_praxis-0.0.18-cp39-cp39-macosx_11_0_arm64.whl:

Publisher: wheels.yml on zakk-h/PRAXIS

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Provenance

The following attestation bundles were made for tree_praxis-0.0.18-cp39-cp39-macosx_10_9_x86_64.whl:

Publisher: wheels.yml on zakk-h/PRAXIS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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