R: Make Predictions from a "ExponentialRegression" Object

predict.ExponentialRegression {hana.ml.r}

R Documentation

Make Predictions from a "ExponentialRegression" Object

Description

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

Usage

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

Arguments

`model`	`R6Class object` "ExponentialRegression" object for prediction.
`data`	`DataFrame` Data for prediction.
`key`	`character` Name of the ID column.
`features`	`character, optional` Name of the features column. If not provided, it defaults the the all no-ID, no-label column of data.
`thread.ratio`	`double, optional` Controls the proportion of available 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 available threads. Values between 0 and 1 will use that percentage of available 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: 
 DataFrame data.predict for prediction:

 > data.predict
 ID  X1   X2
 1  0 0.5 0.30
 2  1 4.0 0.40
 3  2 0.0 1.60
 4  3 0.3 0.45
 5  4 0.4 1.70

 Fitted values of the prediction data using a "ExponentialRegression" Object er:
 predict(model = er, data = data.predict, key = "ID")
    ID       VALUE
  1  0 0.690059893
  2  1 1.234150232
  3  2 0.006630664
  4  3 0.388797021
  5  4 0.005210654

## End(Not run)