ml_logistic_regression_tidiers {sparklyr}R Documentation

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.


[Package sparklyr version 1.8.5 Index]