ml_pca_tidiers: Tidying methods for Spark ML Principal Component Analysis

ml_pca_tidiersR Documentation

Tidying methods for Spark ML Principal Component Analysis

Description

These methods summarize the results of Spark ML models into tidy forms.

Usage

## S3 method for class 'ml_model_pca'
tidy(x, ...)

## S3 method for class 'ml_model_pca'
augment(x, newdata = NULL, ...)

## S3 method for class 'ml_model_pca'
glance(x, ...)

Arguments

x

a Spark ML model.

...

extra arguments (not used.)

newdata

a tbl_spark of new data to use for prediction.


sparklyr documentation built on Aug. 17, 2022, 1:11 a.m.