C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
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 } |
enum ResultToComputeId |
Available identifiers of optional results of the classifier algorithm
For more complete information about compiler optimizations, see our Optimization Notice.