plot.predict_parts function

Plot Variable Attribution Explanations

## S3 method for class 'predict_parts'
plot(x, ...)

Arguments

• x: an object of the class predict_parts
• ...: other parameters described below

Returns

An object of the class ggplot.

Plot options

break_down

• max_featuresmaximal number of features to be included in the plot. default value is 10
• min_maxa range of OX axis. By default NA, therefore it will be extracted from the contributions of x. But it can be set to some constants, useful if these plots are to be used for comparisons.
• add_contributionsif TRUE, variable contributions will be added to the plot.
• shift_contributionsnumber describing how much labels should be shifted to the right, as a fraction of range. By default equal to 0.05.
• vcolorsIf NA (default), DrWhy colors are used.
• vnamesa character vector, if specified then will be used as labels on OY axis. By default NULL.
• digitsnumber of decimal places (round) or significant digits (signif) to be used.
• rounding_functiona function to be used for rounding numbers.
• plot_distributionsif TRUE then distributions of conditional propotions will be plotted. This requires keep_distributions=TRUE in the break_down, local_attributions, or local_interactions.
• baselineif numeric then veritical line starts in baseline.
• titlea character. Plot title. By default "Break Down profile".
• subtitlea character. Plot subtitle. By default NULL - then subtitle is set to "created for the XXX, YYY model", where XXX, YYY are labels of given explainers.
• max_varsalias for the max_features parameter.

shap

• show_boxplotslogical if TRUE (default) boxplot will be plotted to show uncertanity of attributions.
• vcolorsIf NA (default), DrWhy colors are used.
• max_featuresmaximal number of features to be included in the plot. default value is 10
• max_varsalias for the max_features parameter.

oscillations

• bar_widthwidth of bars. By default 10