predict.dbcsp: Predict function implemented by dbcsp class

Description

This function returns the labels predicted for the input instances. If true_targets are passed as parameter, the accuracy obtained is printed too.

Usage

# S3 method for dbcsp
predict(object, X_test, true_targets=NULL, ...)

Value

The values returned by the LDA predict.lda function, a list with these components:

class The MAP classification (a factor)
posterior Posterior probabilities for the classes
x The scores of test cases on up to dimen discriminant variables

If the true_targets are indicated, two more items are added to the output list:

confusion_matrix The confusion matrix obtained with predicted labels and true labels.
acc The accuracy value obtained for the test instances.

Arguments

object: object of class dbcsp.
X_test: list of matrices for test data.
true_targets: vector of true labels of the instances. Note that they must match the names of the labels used when training the model.
...: not currently used.

Details

It gives the predictions for the test data using the model saved in the object, which has been previously trained with the train.dbcsp function. If the true_targets are indicated, the confusion matrix and obtained accuracy value are returned too.

Examples

Run this code

# Read data from 2 classes
x <- AR.data$come[1:20]
y <- AR.data$five[1:20]
mydbcsp <- new("dbcsp", X1 = x, X2 = y)
mydbcsp <- train(mydbcsp,fold=3)
test_data <- c(AR.data$come[20:24], AR.data$five[20:24])
test_labels <- c(rep('x',5),rep('y',5))
predictions <- predict(mydbcsp,test_data,test_labels)
# Predicted classes
print(predictions$class)
# Confusion matrix
print(predictions$confusion_matrix)
# Accuracy
print(predictions$acc)