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 1.8.6 Index]