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Commits on May 26, 2022

• Update requirements.txt

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• Merge pull request #11 from AlCorreia/dependabot/pip/experiments/numpy-1.21.0

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Commits on Apr 25, 2022

• Fixing depfunc

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Commits on Feb 22, 2022

• Bump numpy from 1.19.1 to 1.21.0 in /experiments

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• Merge pull request #10 from AlCorreia/dependabot/pip/experiments/pillow-9.0.0

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Commits on Jan 13, 2022

• Bump pillow from 8.1.1 to 9.0.0 in /experiments

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Commits on Jun 2, 2021

• Import time

  AlCorreia

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Commits on Apr 2, 2021

• Adding random_state parameter

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• Including missforest in the experiments script

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• Adding missforest implementation

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Commits on Mar 19, 2021

• Merge pull request #3 from AlCorreia/dependabot/pip/experiments/pillow-8.1.1

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• Bump pillow from 7.2.0 to 8.1.1 in /experiments

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Commits on Mar 17, 2021

• Create LICENSE

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Commits on Mar 4, 2021

• Create .gitignore

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• Cleaning repo

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Commits on Feb 26, 2021

• Removing unnecessary attribute

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Commits on Feb 25, 2021

• Update default max_features for Random Forest

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Commits on Feb 20, 2021

• Merge branch 'master' of https://github.com/AlCorreia/GeFs

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• Enabling other types of impurity measures

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Commits on Feb 15, 2021

• Update README.md

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• Adding requirements.txt

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• Adding notebook with examples on learning GeFs from sklearn models

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• Adding flag to identify models learned as ensembles

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• Adding minstd and smoothing parameters to LearnSPN

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• Adding Laplace smoothing as a parameter for parsing functions

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Commits on Feb 13, 2021

• Adding parameter for minimum standard deviation of gaussian leaves

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Commits on Feb 12, 2021

• Adding parser for sklearn Random Forest models

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Commits on Feb 11, 2021

• Fixing LearnSPN link to last node in an existing PC

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Commits on Feb 10, 2021

• Requiring numba to be version 0.49 or higher

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• Requiring scipy version to be 1.5 or higher

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Commits on Feb 9, 2021

• Adding conditional sampling

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Commits on Feb 8, 2021

• Removing unnecessary parent information

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Commits on Feb 7, 2021

• Updating plot function to avoid deprecation warnings

  AlCorreia

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• Adding sample function

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• Facilitating classification of any variable

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