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clarified what permute parameter does #52

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clarified what permute parameter does #52

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -114,7 +114,7 @@ will want to generate `x_indices` programmatically.
- *n_splits*: Number of shuffle split iterations to use
- *test_size*: Fraction of data to use for test set in each iteration
- *clf_info*: List of scikit-learn classifiers to use.
- *permute*: List of booleans to indicate whether to generate a null model or not
- *permute*: List of booleans to indicate whether to generate a null model with permuted labels aka permutation test (set to true) or not (set to false)
- *gen_feature_importance*: Boolean indicating whether unique feature importance method should be generated for each model if available (e.g., `coef_` for linear models, `feature_importances_` for tree-based models) *NOT FULLY TESTED: set to false*
- *gen_permutation_importance*: Boolean indicating whether permutation_importance values are generated (model agnostic, available for all models) *NOT FULLY TESTED: set to false*
- *gen_shap*: Boolean indicating whether shap values are generated (model agnostic, available for all models)
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