R: Make Predictions from a "PolynomialRegression" Object

predict.PolynomialRegression {hana.ml.r}

R Documentation

Make Predictions from a "PolynomialRegression" Object

Description

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

Usage

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

Arguments

`model`	`R6Class object` A PolynomialRegression object for prediction.
`data`	`DataFrame` The DataFrame for prediction.
`key`	`character` Name of the ID column.
`features`	`character, optional` Name of the features column.
`thread.ratio`	`double, optional` Controls the proportion of availabel threads to use for prediction. The value range is from 0 to 1, where 0 indicates a single thread, and 1 indicates up to all availabel threads. Values between 0 and 1 will use that percentage of availabel threads.Values outside this range are ignored. Defaults to 0.
`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: with same name and type as data's ID column.
VALUE: type DOUBLE, representing predicted values.

Examples

## Not run: 
Predict with DataFrame predict.data and the "PolynomialRegression" Object pr:
> predict(pr, predict.data, key = "ID")
      ID     VALUE
  0   1   6.157063
  1   2   8.401269
  2   3  15.668581
  3   4  33.928501
  
## End(Not run)