svrpredict

Predicts target values for the test data points using parameters computed by svrFit function.

Attention: Available only with Activate commercial edition.

Syntax

predictions = svrpredict(parameters,X)

Inputs

parameters: Output of svrFit function.; Type: struct
X: Test data.; Type: double; Dimension: vector | matrix

Outputs

predictions: Predictions for the test data.; Type: double; Dimension: vector | matrix

Example

Usage of svrpredict

X = [1 2 3; 4 5 6; 7 8 9; 10 11 12; 13 14 15; 16 17 18; 19 20 21];
y = [1, 2, 3, 4, 5, 6, 7];
options = struct;
options.kernel = 'poly';
options.degree = 3;
parameters = svrfit(X, y, options);
predictions = svrpredict(parameters, [1.5 2.0 3; 8 9 3])

predictions = [Matrix] 1 x 2
1.27481  -1.96934