ml_pca_tidiers
Tidying methods for Spark ML Principal Component Analysis
Description
These methods summarize the results of Spark ML models into tidy forms.
Usage
tidyml_model_pca(x, …)
augmentml_model_pca(x, newdata = NULL, …)
glanceml_model_pca(x, …)
Arguments
Argument | Description |
---|---|
x | a Spark ML model. |
… | extra arguments (not used.) |
newdata | a tbl_spark of new data to use for prediction. |