R: Make Predictions from a "LinearRegression" Object

predict.LinearRegression {hana.ml.r}

R Documentation

Make Predictions from a "LinearRegression" Object

Description

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

Usage

## S3 method for class 'LinearRegression'
predict(model, data, key, features = NULL,
  model.format = NULL, ...)

Arguments

`model`	`R6Class object` LinearRegression object for prediction.
`data`	`DataFrame` data for prediction.
`key`	`character` Name of the ID column.
`features`	`list of character, optional` Names of the feature columns. If features is not provided, it defaults to all non-ID columns.
`model.format`	`character, optional` Choose the format of mdoel. 'coefficients' or 'pmml'. Defaults to 'coefficients'.

Value

Predicted values are returned as a DataFrame, structured as follows.

ID column, with same name and type as ‘data'’s ID column.
VALUE, type DOUBLE, representing predicted values.

Examples

## Not run: 
#'Perform the predict on DataFrame df2 using "LinearRegression" object lr:

>df2$Collect()
  ID     X1 X2  X3
0   0  1.690  B   1
1   1  0.054  B   2
2   2  0.123  A   2
3   3  1.980  A   1
4   4  0.563  A   1

>fitted <- predict(model = lr, data = df2, key = "ID")$Collect()
  ID      VALUE
0   0  10.314760
1   1   1.685926
2   2  -7.409561
3   3   2.021592
4   4  -3.122685

> fitted
 ID     VALUE
1  0  8.889325
2  1  1.140495
3  2 -8.013622
4  3  0.418650
5  4 -3.963423

## End(Not run)