Make Predictions from a "SVR" Object

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

# S3 method for SVR
predict(model, data, key, features = NULL, verbose = NULL, thread.ratio = NULL)

Format

S3 methods

Arguments

model

R6Class object
An 'SVR' object for prediction.

data

DataFrame
DataFrame containting the data.

key

character
Name of the ID column.

features

character of list of characters, optional
Name of feature columns for prediction.
If not provided, it defaults to all non-key columns of data.

verbose

logical, optional
If TRUE, output scoring probabilities for each class.
Defauts to FALSE.

thread.ratio

double, optional
Controls the proportion of available threads that can be used by this function.
The value range is from 0 to 1, where 0 indicates a single thread, and 1 indicates all available threads.
Values between 0 and 1 will use up to that percentage of available threads.Values outside this range are ignored.
Defaults to 0.

Value

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

• ID: with same name and type as data's ID column.

• SCORE: type NVARCHAR, predicted values.

• PROBABILITY: type DOUBLE, Prediction probability.

Examples

Call the function and predict with a "SVR" object svr:

> predict(svr, data, key = "ID")

See also

hanaml.SVR