All functions
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explain_forest()
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Explain a random forest |
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important_variables()
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Extract k most important variables in a random forest |
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measure_importance()
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Importance of variables in a random forest |
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min_depth_distribution()
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Calculate minimal depth distribution of a random forest |
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min_depth_interactions()
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Calculate mean conditional minimal depth |
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plot_importance_ggpairs()
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Plot importance measures with ggpairs |
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plot_importance_rankings()
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Plot importance measures rankings with ggpairs |
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plot_min_depth_distribution()
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Plot the distribution of minimal depth in a random forest |
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plot_min_depth_interactions()
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Plot the top mean conditional minimal depth |
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plot_multi_way_importance()
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Multi-way importance plot |
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plot_predict_interaction()
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Plot the prediction of the forest for a grid of values of two numerical variables |