score.apd_pca {applicable}  R Documentation 
Predict from a apd_pca
Description
Predict from a apd_pca
Usage
## S3 method for class 'apd_pca'
score(object, new_data, type = "numeric", ...)
Arguments
object 
A 
new_data 
A data frame or matrix of new samples. 
type 
A single character. The type of predictions to generate. Valid options are:

... 
Not used, but required for extensibility. 
Details
The function computes the principal components of the new data and
their percentiles as compared to the training data. The number of principal
components computed depends on the threshold
given at fit time. It also
computes the multivariate distance between each principal component and its
mean.
Value
A tibble of predictions. The number of rows in the tibble is guaranteed
to be the same as the number of rows in new_data
.
Examples
train < mtcars[1:20, ]
test < mtcars[21:32, 1]
# Fit
mod < apd_pca(mpg ~ cyl + log(drat), train)
# Predict, with preprocessing
score(mod, test)
[Package applicable version 0.1.1 Index]