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

References | Namespaces | Classes | Enumerations

Contains classes for computing the min-max normalization. More...

References

 Batch
 

Namespaces

 daal::algorithms::normalization::minmax
 Contains classes for computing the min-max normalization.
 
 daal::algorithms::normalization::minmax::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

struct  ParameterBase
 Base class that specifies the parameters of the algorithm in the batch computing mode. More...
 
struct  Parameter< algorithmFPType >
 Class that specifies the parameters of the algorithm in the batch computing mode. More...
 
class  Input
 Input objects for the min-max normalization algorithm More...
 
class  Result
 Provides methods to access final results obtained with the compute() method of the min-max normalization algorithm in the batch processing mode. More...
 

Enumerations

enum  Method { defaultDense = 0 }
 
enum  InputId { data }
 
enum  ResultId { normalizedData }
 

Enumeration Type Documentation

enum InputId

Available identifiers of input objects for the min-max normalization algorithm

Enumerator
data 

Input data table

enum Method

Available methods for min-max normalization computation

Enumerator
defaultDense 

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

enum ResultId

Available identifiers of results of the min-max normalization algorithm

Enumerator
normalizedData 

min-max normalization results

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