linearpredict

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

Syntax

predictions = linearpredict(parameters,X)

Inputs

parameters
Output of linearfit 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 linearpredict

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;
options.alpha = 0.3;
parameters = linearfit(X, y, options);
predictions = linearpredict(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 Gradient Descent method (linearfit). Once coefficients are estimated, prediction is done.