Tidying methods for Spark ML tree models

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

# S3 method for ml_model_decision_tree_classification
tidy(x, ...)

# S3 method for ml_model_decision_tree_regression
tidy(x, ...)

# S3 method for ml_model_decision_tree_classification
augment(x, newdata = NULL, ...)

# S3 method for ml_model_decision_tree_regression
augment(x, newdata = NULL, ...)

# S3 method for ml_model_decision_tree_classification
glance(x, ...)

# S3 method for ml_model_decision_tree_regression
glance(x, ...)

# S3 method for ml_model_random_forest_classification
tidy(x, ...)

# S3 method for ml_model_random_forest_regression
tidy(x, ...)

# S3 method for ml_model_random_forest_classification
augment(x, newdata = NULL, ...)

# S3 method for ml_model_random_forest_regression
augment(x, newdata = NULL, ...)

# S3 method for ml_model_random_forest_classification
glance(x, ...)

# S3 method for ml_model_random_forest_regression
glance(x, ...)

# S3 method for ml_model_gbt_classification
tidy(x, ...)

# S3 method for ml_model_gbt_regression
tidy(x, ...)

# S3 method for ml_model_gbt_classification
augment(x, newdata = NULL, ...)

# S3 method for ml_model_gbt_regression
augment(x, newdata = NULL, ...)

# S3 method for ml_model_gbt_classification
glance(x, ...)

# S3 method for ml_model_gbt_regression
glance(x, ...)

Arguments

x

a Spark ML model.

...

extra arguments (not used.)

newdata

a tbl_spark of new data to use for prediction.