ml_tree_tidiers: Tidying methods for Spark ML tree models

Description

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

Usage

# 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_classification`
augment(x, new_data = NULL, ...)
# S3 method for ml_model_decision_tree_regression
augment(x, newdata = NULL, ...)
# S3 method for `_ml_model_decision_tree_regression`
augment(x, new_data = 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_classification`
augment(x, new_data = NULL, ...)
# S3 method for ml_model_random_forest_regression
augment(x, newdata = NULL, ...)
# S3 method for `_ml_model_random_forest_regression`
augment(x, new_data = 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_classification`
augment(x, new_data = NULL, ...)
# S3 method for ml_model_gbt_regression
augment(x, newdata = NULL, ...)
# S3 method for `_ml_model_gbt_regression`
augment(x, new_data = 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.
new_data: a tbl_spark of new data to use for prediction.