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parrt
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Commits on Mar 24, 2025
Merge pull request #60 from cgilpatrick/master
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chore: fixing dash issue for setuptools v78
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Commits on Sep 29, 2024
Merge pull request #59 from ValterH/master
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support custom metric for oob_dropcol_importances
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add version to code
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tweak
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set new version
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Merge pull request #48 from parrt/fix-version-issue
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merge master and simplify.
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Fixes #11993. Support 0.22 - 0.24 versions. changed function parameters.
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Commits on Jan 8, 2021
Merge pull request #45 from Sharpen6/patch-1
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Commits on Jan 7, 2021
Support sklearn 0.24
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Commits on Nov 25, 2020
add method argument to the correlation methods.
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Merge pull request #43 from escherba/master
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Merge remote-tracking branch 'origin/master' into master
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bump version to 1.3.6
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Commits on Nov 15, 2020
remove stratx from setup requirements
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allow callable method
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merge parrt remote
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Commits on Jun 23, 2020
Merge pull request #37 from mkbldn/improve-feature-dependence-matrix
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Commits on Jun 13, 2020
tweak
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Commits on Jun 11, 2020
default to Pandas pairwise correlation
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Commits on Jun 9, 2020
Re-commit "Update to the feature_dependence_matrix to use RandomForrestClassfier for categorical dependent variables"
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Revert "Update feature_dependence_matrix to use RandomForrestClassfier for categorical dependent variables" because of mistakes in subsequent commit messages
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Switch oob_classifier_f1_score to use macro average instaed of weighted
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Update feature_dependence_matrix to use RandomForrestClassfier for categorical dependent variables
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Add oob_classifier_f1_score
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Commits on May 22, 2020
Merge pull request #36 from femtomatic/master
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Modify sklearn version check to use distutils.version.LooseVersion
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Commits on May 10, 2020
Merge pull request #35 from parrt/improve-oob-sklearn-compatibility
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Instead of try/except, check the actual version number of sklearn. This also lets me do an import for function _get_n_samples_bootstrap() that doesn't exist in prior versions. I verified that this…
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set version
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Merge pull request #34 from matheusccouto/sklearn_0.22
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convert lists to strings in dataframe importance
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