Visualization#

General Visualization#

plot_explanation(explanation[, feature, ...])

Plots a RealApp output or Pyreal explanation using the most appropriate visualization method

Feature Contribution/Importance#

feature_bar_plot(explanation[, select_by, ...])

Plot the most contributing features

strip_plot(explanation[, type, ...])

Generates a strip plot (type="strip") or a swarm plot (type="swarm") from a set of feature contributions.

feature_scatter_plot(explanation, feature[, ...])

Plot a contribution scatter plot for one feature

Example-Based Explanations#

example_table(explanation[, input_name, ...])

Decision Tree Explanations#

plot_tree_explanation(dte[, transparent, ...])

Plot the decision tree given the decision tree explainer

Time Series#

plot_timeseries_saliency(data, colors[, ...])