ml_tree_tidiers
Tidying methods for Spark ML tree models
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_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.