Tidying methods for Spark ML unsupervised models

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

# 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

x

a Spark ML model.

...

extra arguments (not used.)

newdata

a tbl_spark of new data to use for prediction.