IDLmlLinearNormalizer

The IDLmlLinearNormalizer class implements a linear normalizer using the formula dataOut = dataIn * scale + offset.

Example

Data = findgen(10)

Normalizer = IDLmlLinearNormalizer(SCALE=2.0, OFFSET=10)

Print, Normalizer.Normalize(data)

Syntax

Result = IDLmlLinearNormalizer([, Properties=value])

Arguments

None

Keywords

None

Properties

SCALE

A scalar or a 1D array of numbers representing the scale factor for the normalization.

OFFSET

A scalar or a 1D array of numbers representing the offsets for the normalization.

Methods

IDLmlLinearNormalizer::Normalize

The IDLmlLinearNormalizer::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->[IDLmlLinearNormalizer::]Normalize, Data

As a function:

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

Return Value

If called as a procedure, the normalized array will overwrite the input Data argument. If called as a function, the return value will be an array with the same dimensions as Data, which contains the normalized result.

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

IDLmlLinearNormalizer::Restore

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

Syntax

Result = IDLmlLinearNormalizer.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

IDLmlLinearNormalizer::Save

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

Syntax

Obj->[IDLmlLinearNormalizer::]Save, Filename

Arguments

Filename

Specify the name of the file to save.

Keywords

None

IDLmlLinearNormalizer::Unnormalize

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

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->[IDLmlLinearNormalizer::]Unnormalize, Data

As a function:

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

Return Value

If called as a procedure, the unnormalized array will overwrite the input Data argument. If called as a function, the return value will be an array with the same dimensions as Data, which contains the unnormalized result.

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

See Also

IDLmlRangeNormalizer, IDLmlTanHNormalizer, IDLmlUnitNormalizer, IDLmlVarianceNormalizer