ml_logistic_regression_tidiers: Tidying methods for Spark ML Logistic Regression

In rstudio/sparklyr: R Interface to Apache Spark

Tidying methods for Spark ML Logistic Regression

Description

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

Usage

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

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

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

## S3 method for class '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.
new_data	a tbl_spark of new data to use for prediction.

rstudio/sparklyr documentation built on March 29, 2024, 3:30 p.m.