ml_logistic_regression_tidiers

From sparklyr v1.5.0 by Yitao Li

Tidying methods for Spark ML Logistic Regression

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

Usage

# S3 method for ml_model_logistic_regression
tidy(x, ...)
# S3 method for ml_model_logistic_regression
augment(x, newdata = NULL, ...)
# S3 method for ml_model_logistic_regression
glance(x, ...)

Arguments

x: a Spark ML model.
...: extra arguments (not used.)
newdata: a tbl_spark of new data to use for prediction.

Documentation reproduced from package sparklyr, version 1.5.0, License: Apache License 2.0 | file LICENSE

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