R: Make Predictions from a "LogisticRegression" Object

predict.LogisticRegression {hana.ml.r}

R Documentation

Make Predictions from a "LogisticRegression" Object

Description

Similar to other predict methods, this function predicts fitted values from a fitted "LogisticRegression" object.

Usage

## S3 method for class 'LogisticRegression'
predict(model, key, data, features = NULL,
  verbose = FALSE)

Arguments

`model`	`R6Class object` A LogisticRegression object for prediction.
`key`	`character` Name of the ID column.
`data`	`DataFrame` The DataFrame for prediction.
`features`	`list of character, optional` Names of the feature columns. If not provided, it defaults to all non-ID columns.
`verbose`	`logical, optional` Defaults to FALSE.

Value

Dataframe
Predicted values, structured as follows.

ID column, with same name and type as ‘data'’s ID column.
CLASS, type NVARCHAR, predicted class name.
PROBABILITY, type DOUBLE.

NOTE : predict() will pass the pmml table to PAL as the model representation if there is a pmml table, or the coefficients table otherwise.

Examples

## Not run: 
 df2 <- conn$sql('select * from DATA_TBL_PREDICT') -
 The DataFrame for prediction
 predict(lr, df2, key = 'ID', features = list('V1', 'V2', 'V3'))
 - lr is a generated LogisticRegression object.

## End(Not run)

[Package hana.ml.r version 1.0.8 Index]