Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 3
The Z-score normalization algorithm accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
|
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data |
Pointer to the numeric table of size n x p. This table can be an object of any class derived from NumericTable. |
The Z-score normalization algorithm has the following parameters. Some of them are required only for specific values of the computation method parameter method:
Parameter |
method |
Default Value |
Description |
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---|---|---|---|---|---|---|---|---|
algorithmFPType |
defaultDense or sumDense |
double |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
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method |
Not applicable |
defaultDense |
Available computation methods:
|
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moments |
defaultDense |
SharedPtr<low_order_moments::Batch<algorithmFPType, low_order_moments::defaultDense> > |
Pointer to the low order moments algorithm that computes means and standard deviations to be used for Z-score normalization with the defaultDense method. For details, see Moments of Low Order. Batch Processing. |
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resultsToCompute |
defaultDense or sumDense |
none |
The 64-bit integer flag that specifies which characteristics of the objective function to compute. Provide one of the following values to request a single characteristic or use bitwise OR to request a combination of the characteristics:
|
The Z-score normalization algorithm calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Result |
|
---|---|---|
normalizedData |
Pointer to the n x p numeric table that stores the result of normalization. By default, the result is an object of the HomogenNumericTable class, but you can define the result as an object of any class derived from NumericTable except PackedTriangularMatrix, PackedSymmetricMatrix, and CSRNumericTable. |
|
means |
Pointer to the 1 x p numeric table that contains mean values for each feature. Optional. |
|
variances |
Pointer to the 1 x p numeric table that contains variance values for each feature. Optional. |