| standardizeFeatures {communication} | R Documentation |
Title
Description
Title
Usage
standardizeFeatures(Xs, feature_means = NULL, feature_sds = NULL, verbose = 1)
Arguments
Xs |
Data |
feature_means |
Numeric vector corresponding to columns of elements in Xs |
feature_sds |
Numeric vector corresponding to columns of elements in Xs. If not supplied, will be computed from Xs. |
verbose |
Verbose printing |
Details
feature_means and feature_sds are provided to allow
alignment of new datasets. For example, after a model is trained, new data
for prediction must be transformed in the same way as the training data to
ensure predictions are valid. If either is NULL, both will be
computed from Xs and the output will be internally standardized
(i.e., columns of do.call(rbind, standardizeFeatures(Xs)) will be
have a mean of 0 and a standard deviation of 1).
Value
Standardizes 'data' of objects of class 'preppedAudio'. Maintains structure of original object otherwise. Is used to standardize data where the recording environment systematically shifts audio features.
Examples
data('audio')
audio$data <- standardizeFeatures(
lapply(audio$data, function(x) na.omit(x))
)