Tidying methods for Spark ML unsupervised models

R/tidiers_ml_unsupervised_models.R

ml_unsupervised_tidiers

Description

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

Usage

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

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

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

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

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

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

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

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

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

Arguments

Arguments	Description
x	a Spark ML model.
…	extra arguments (not used.)
newdata	a tbl_spark of new data to use for prediction.