plot.predict_parts: Plot Variable Attribution Explanations

Description

Plot Variable Attribution Explanations

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

An object of the class ggplot.

max_features -- maximal number of features to be included in the plot. default value is 10
min_max -- a 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_contributions -- if TRUE, variable contributions will be added to the plot.
shift_contributions -- number describing how much labels should be shifted to the right, as a fraction of range. By default equal to 0.05.
vcolors -- If NA (default), DrWhy colors are used.
vnames -- a character vector, if specified then will be used as labels on OY axis. By default NULL.
digits -- number of decimal places (round) or significant digits (signif) to be used.
rounding_function -- a function to be used for rounding numbers.
plot_distributions -- if TRUE then distributions of conditional propotions will be plotted. This requires keep_distributions=TRUE in the break_down, local_attributions, or local_interactions.
baseline -- if numeric then veritical line starts in baseline.
title -- a character. Plot title. By default "Break Down profile".
subtitle -- a 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_vars -- alias for the max_features parameter.

show_boxplots -- logical if TRUE (default) boxplot will be plotted to show uncertanity of attributions.
vcolors -- If NA (default), DrWhy colors are used.
max_features -- maximal number of features to be included in the plot. default value is 10
max_vars -- alias for the max_features parameter.