Make Predictions from a

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

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

Arguments

model	`R6Class object` A 'OneClassSVM' 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.

S3 methods

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 class labels, where "1" means normal, "-1" means outlier.
PROBABILITY: type DOUBLE, Prediction probability.

Call the function and predict with a "OneClassSVM" object svc.one:

> predict(svc.one, data, key = "ID")