IDLmlRangeNormalizer

The IDLmlRangeNormalizer class implements a normalizer that will scale data to have a range of 1 and a mean of 0.

Example

Data = findgen(10)

Normalizer = IDLmlRangeNormalizer(data)

Print, Normalizer.Normalize(data)

Syntax

Result = IDLmlRangeNormalizer(Data)

Arguments

Data

A numerical array from which the normalizer will determine the proper normalization parameters. The array must be 2D, of size n x m, where n is the number of attributes and m is the number of examples.

Keywords

None

Properties

None

IDLmlRangeNormalizer::Normalize

The IDLmlRangeNormalizer::Normalize method computes the normalization of input data.

Syntax

This method can be invoked as a procedure or a function. The procedure syntax is faster and more efficient, but it overwrites the Data argument. The function syntax is less efficient, but it leaves the input argument untouched.

As a procedure:

Obj->[IDLmlRangeNormalizer::]Normalize, Data

As a function:

Result = Obj->[IDLmlRangeNormalizer::]Normalize(Data)

Arguments

Data

Specify a scalar, 1D array or 2D array of data to normalize.

If the data is 2D, the array must be of size n x m, where n is the number of attributes and m is the number of examples. If the data is 1D, the array must be of size n (number of attributes).

Keywords

None

IDLmlRangeNormalizer::Restore

The IDLmlRangeNormalizer::Restore static method restores the normalizer from a file.

Syntax

Result = IDLmlRangeNormalizer.Restore(Filename)

Return Value

A reference to the object instance restored from the file.

Arguments

Filename

Specify the name of the file to restore.

Keywords

None

IDLmlRangeNormalizer::Save

The IDLmlRangeNormalizer::Save method saves the normalizer to a file.

Syntax

Obj->[IDLmlRangeNormalizer::]Save, Filename

Arguments

Filename

Specify the name of the file to save.

Keywords

None

IDLmlRangeNormalizer::Unnormalize

The IDLmlRangeNormalizer::Unnormalize method returns normalized data to its original values.

Syntax

As a procedure:

Obj->[IDLmlRangeNormalizer::]Unnormalize, Data

As a function:

Result = Obj->[IDLmlRangeNormalizer::]Unnormalize(Data)

Arguments

Data

Specify a scalar, 1D array or 2D array of data to normalize.

If the data is 2D, the array must be of size n x m, where n is the number of attributes and m is the number of examples. If the data is 1D, the array must be of size n (number of attributes).

Keywords

None

Version History

8.7.1

Introduced