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
See Also
IDLmlRangeNormalizer, IDLmlTanHNormalizer, IDLmlUnitNormalizer, IDLmlVarianceNormalizer