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, ...)
x |
a Spark ML model. |
... |
extra arguments (not used.) |
newdata |
a tbl_spark of new data to use for prediction. |
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.