C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

References | Namespaces | Classes | Enumerations

Contains classes for computing the z-score normalization. More...

References

 Batch
 

Namespaces

 daal::algorithms::normalization::zscore
 Contains classes for computing the z-score normalization.
 
 daal::algorithms::normalization::zscore::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 
 daal::algorithms::normalization::zscore::interface2
 Contains version 2.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 
 daal::algorithms::normalization::zscore::interface3
 Contains version 3.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

class  Input
 Input objects for the z-score normalization algorithm More...
 

Enumerations

enum  Method { defaultDense = 0, sumDense = 1 }
 
enum  InputId { data }
 
enum  ResultId { normalizedData, means, variances }
 
enum  ResultToComputeId { , mean = 0x00000001ULL, variance = 0x00000002ULL }
 
enum  ResultToComputeId { , mean = 0x00000001ULL, variance = 0x00000002ULL, eigenvalue = 0x00000004ULL }
 

Enumeration Type Documentation

enum InputId

Available identifiers of input objects for the z-score normalization algorithm

Enumerator
data 

Input data table

enum Method

Available methods for z-score normalization computation

Enumerator
defaultDense 

Default: performance-oriented method. Works with all types of numeric tables

sumDense 

Precomputed sum: implementation of algorithm in the case of a precomputed sum. Works with all types of numeric tables

enum ResultId

Available identifiers of results of the z-score normalization algorithm

Enumerator
normalizedData 

z-score normalization results

means 

Mean values

variances 

Variances

enum ResultToComputeId

Available identifiers of optional results of the z-score normalization algorithm

Enumerator
mean 

Numeric table of size 1 x p with the mean values of features >

variance 

Numeric table of size 1 x p with the variances of features >

enum ResultToComputeId

Available identifiers of optional results of the PCA batch algorithms

Enumerator
mean 

Numeric table of size 1 x p with the mean values of features >

variance 

Numeric table of size 1 x p with the variances of features >

eigenvalue 

Numeric table of size 1 x p with the always computed eigenvalues>

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