feature_weights {SIAMCAT} | R Documentation |
Function to extract the feature weights from a SIAMCAT object
feature_weights(siamcat, verbose=1) ## S4 method for signature 'siamcat' feature_weights(siamcat, verbose = 1)
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 |
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)
A dataframe containing mean/median feature weight and
additional info or NULL
data(siamcat_example) temp <- feature_weights(siamcat_example) head(temp)