Tidying methods for Spark ML tree models

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

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

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

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

# S3 method for class '`_ml_model_decision_tree_classification`'
augment(x, new_data = NULL, ...)

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

# S3 method for class '`_ml_model_decision_tree_regression`'
augment(x, new_data = NULL, ...)

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

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

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

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

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

# S3 method for class '`_ml_model_random_forest_classification`'
augment(x, new_data = NULL, ...)

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

# S3 method for class '`_ml_model_random_forest_regression`'
augment(x, new_data = NULL, ...)

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

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

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

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

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

# S3 method for class '`_ml_model_gbt_classification`'
augment(x, new_data = NULL, ...)

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

# S3 method for class '`_ml_model_gbt_regression`'
augment(x, new_data = NULL, ...)

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

# S3 method for class '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.

new_data

a tbl_spark of new data to use for prediction.