Retrieve the matrix of feature weights from a SIAMCAT object

Function to extract the feature weights from a SIAMCAT object

feature_weights(siamcat, verbose=1)

# S4 method for siamcat
feature_weights(siamcat, verbose = 1)

Arguments

siamcat: (Required). A siamcat-class object that contains trained models
verbose: integer, if the slot is empty, should a message be printed? values can be either 0 (no output) or 1 (print message)

A dataframe containing mean/median feature weight and additional info or NULL

The function extracts the weight matrix from all trained models (see weight_matrix) and computes several metrics on the feature weights:

mean.weight - mean weight across trained models
median.weight - median weight across trained models
sd.weight - standard deviation of the weight across trained models
mean.rel.weight - mean relative weight across trained models (each model is normalized by the absolute of all weights)
median.rel.weight - median relative weight across trained models
sd.rel.weight - standard deviation of the relative weight across trained models
percentage - percentage of models in which this feature was selected (i.e. non-zero)

data(siamcat_example)
temp <- feature_weights(siamcat_example)
#> Feature weights are empty
head(temp)
#> NULL