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

References | Enumerations
Training and Prediction

Contains classes of machine learning algorithms. Unlike analysis algorithms, which are intended to characterize the structure of data sets, machine learning algorithms model the data. Modeling operates in two major stages: training and prediction or decision making. More...

References

 Base Decision Forest
 Contains base classes of the decision forest algorithm.
 
 Base Decision Tree
 Contains base classes for Decision tree algorithm.
 
 Base Gradient Boosted Trees
 Contains base classes of the gradient boosted trees algorithm.
 
 Classification
 Contains classes for work with the classification algorithms.
 
 Neural Networks
 Contains classes for training and prediction using neural network.
 
 Recommendation Systems
 Contains classes to work with recommendation systems.
 
 Regression
 Contains classes for work with the regression algorithms.
 
 Tree utils
 Contains classes for work with the tree-based algorithms.
 

Enumerations

enum  ResultToComputeId { computeClassLabels = 0x00000001ULL, computeClassProbabilities = 0x00000002ULL, computeClassLogProbabilities = 0x00000004ULL }
 

Enumeration Type Documentation

enum ResultToComputeId

Available identifiers of optional results of the classifier algorithm

Enumerator
computeClassLabels 

Numeric table of size n x 1 with the predicted labels >

computeClassProbabilities 

Numeric table of size n x p with the predicted class probabilities for each observation >

computeClassLogProbabilities 

Numeric table of size n x p with the predicted class probabilities for each observation >

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