View source: R/plot_predict_parts.R
plot.predict_parts | R Documentation |
Plot Variable Attribution Explanations
## S3 method for class 'predict_parts' plot(x, ...)
x |
an object of the class |
... |
other parameters described below |
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.
bar_width
width of bars. By default 10
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