ml_unsupervised_tidiers
Tidying methods for Spark ML unsupervised models
Description
These methods summarize the results of Spark ML models into tidy forms.
Usage
tidyml_model_kmeans(x, …)
augmentml_model_kmeans(x, newdata = NULL, …)
glanceml_model_kmeans(x, …)
tidyml_model_bisecting_kmeans(x, …)
augmentml_model_bisecting_kmeans(x, newdata = NULL, …)
glanceml_model_bisecting_kmeans(x, …)
tidyml_model_gaussian_mixture(x, …)
augmentml_model_gaussian_mixture(x, newdata = NULL, …)
glanceml_model_gaussian_mixture(x, …)
Arguments
| Argument | Description |
|---|---|
| x | a Spark ML model. |
| … | extra arguments (not used.) |
| newdata | a tbl_spark of new data to use for prediction. |