minmaxnormalizetransform

Normalizes test dataset using values computed on training data by 'minMaxNormalize' function.

Attention: Available only with Activate commercial edition.

Syntax

X_normalized = minmaxnormalizetransform(parameters,X)

Inputs

X: Input data to be normalized.; Type: double; Dimension: vector | matrix
parameters: Struct containing values such as minimum and maximum of each column of training data and minimum and maximum range specified for training data. It is the output of 'minMaxNormalize' function.; Type: double | integer; Dimension: struct

Outputs

X_normalized: Normalized input records.; Type: integer; Dimension: vector | matrix

Example

Usage of minmaxnormalizetransform

X = [1, -1, 2;
     2, 0, 0;
     0, 1, -1];
X_test = [-3 -1 4];
[X_scaled, parameters] = minmaxnormalize(X, [0.25, 0.35]);
X_test_scaled = minmaxnormalizetransform(parameters, X_test);

> X_scaled
X_scaled = [Matrix] 3 x 3
0.30000 0.25000 0.35000
0.35000 0.30000 0.28333
0.25000 0.35000 0.25000
> X_test_scaled
X_test_scaled = [Matrix] 1 x 3
0.10000 0.25000 0.41667