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IDLmlShuffle

IDLmlShuffle

The IDLmlShuffle procedure shuffles features and values to create a random reordering of training data used for machine learning applications. The shuffling occurs in-place, and the input array(s) will be modified.

Example


Features = Transpose([255, 223, 110, 25, 99, 105, 66, 3, 87, 160])
Values = [1,2,2,3,3,3,4,4,4,4]
 
Print, 'Before shuffling'
Print, Features
Print, Values
 
IDLmlShuffle, features, values
 
Print, Features
Print, Values

Syntax


IDLmlShuffle, Features, Values [, Keywords=value]

Arguments


Features

Specify an array of features of size n x m, where n is the number of attributes and m is the number of examples.

Values (optional)

Specify an array of values of size m, where m is the number of examples.

Keywords


INDEX (optional)

Set this keyword to specify the indices to use to shuffle the data.

SEED (optional)

If repeatability is desired (such as for testing), set this keyword to the seed variable used to randomly initialize the weights.

Version History


8.7.1

Introduced

See Also


IDLmlPartition



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