olspredict

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

Attention: Available only with Activate commercial edition.

Syntax

predictions = olspredict(parameters,X)

Inputs

parameters: Output of olsFit 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 olspredict

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.to_normalize = true;
parameters = olsfit(X, y, options);
predictions = olspredict(parameters, [1.5 2.0 3; 8 9 3])

predictions = [Matrix] 2 x 1
 8.33333
17.33333

Comments

It performs regression by estimating coefficients using Ordinary Least Squares method (olsfit). Once coefficients are estimated, prediction is done.