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dataXY_df
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Terra satellite data (X,Y) for running the xgboost model . |
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label.feature()
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Modify labels for features under plotting |
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labels_within_package
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labels_within_package: Some labels package auther defined to make his plot, mainly serve the paper publication. |
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new_labels
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new_labels: a place holder default to NULL. |
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plot(<label>)
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Internal-function to revise axis label for each feature |
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scatter.plot.diagonal()
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Make customized scatter plot with diagonal line and R2 printed. |
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scatter.plot.simple()
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Simple scatter plot, adding marginal histogram by default. |
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shap.importance()
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Variable importance as measured by mean absolute SHAP value. |
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shap.plot.dependence()
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SHAP dependence plot and interaction plot, optional to be colored by a
selected feature |
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shap.plot.force_plot()
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Make the SHAP force plot |
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shap.plot.force_plot_bygroup()
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Make the stack plot, optional to zoom in at certain x or certain cluster |
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shap.plot.summary()
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SHAP summary plot core function using the long format SHAP values |
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shap.plot.summary.wrap1()
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A wrapped function to make summary plot from model object and predictors |
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shap.plot.summary.wrap2()
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A wrapped function to make summary plot from given SHAP values matrix |
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shap.prep.interaction()
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Prepare the interaction SHAP values from predict.xgb.Booster |
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shap.prep()
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Prepare SHAP values into long format for plotting |
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shap.prep.stack.data()
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Prepare data for SHAP force plot (stack plot) |
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shap.values()
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Get SHAP scores from a trained XGBoost or LightGBM model |
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shap_int_iris
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The interaction effect SHAP values example using iris dataset. |
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shap_long_iris
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The long-format SHAP values example using iris dataset. |
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shap_score
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SHAP values example from dataXY_df . |
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shap_values_iris
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SHAP values example using iris dataset. |