This function takes as input a prediction set and an ontology and plots the ontology, highlighting the labels included in the set.
plotResult(
pred_set,
onto,
probs = NULL,
col_grad = c("lemonchiffon", "orange", "darkred"),
attrs = NULL,
k = 4,
title = NULL,
add_scores = TRUE,
...
)Arguments
- pred_set
character vector containing the labels in the prediction set
- onto
ontology as an igraph
- probs
estimated probabilities for the classes
- col_grad
color to use to highlight the classes
- attrs
other grtaphical attributes
- k
number of decimal digits to consider in
probs- title
title of the plot
- add_scores
boolean. If
TRUE, estimated probabilities are added to the name of the classes- ...
general commands to be sent to plot
Value
a plot of the ontology with the considered classes colored
Examples
library(igraph)
# Let's build a random ontology
onto <- graph_from_literal(
animal-+dog:cat, cat-+british:persian,
dog-+cocker:retriever, retriever-+golden:labrador
)
# Let's consider this prediction set
pred_set <- c("golden", "labrador", "cocker")
plotResult(pred_set, onto,
col_grad = "pink", add_scores = FALSE,
title = "Prediction set"
)
