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sparklyr (version 1.8.4)

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.