.rst .pdf

Contents

DAAL Interfaces

This chapter documents algorithms implemented in DAAL interfaces. See oneAPI Interfaces to find documentation on oneAPI interfaces.

Developer Guide

• CPU and GPU Support
  • Computation modes
  • Methods
  • Parameters
• Library Usage
  • Algorithms
  • Computation Modes
  • Training and Prediction
• Data Management
• Analysis
  • K-Means Clustering
  • Density-Based Spatial Clustering of Applications with Noise
  • Correlation and Variance-Covariance Matrices
  • Principal Component Analysis
  • Principal Components Analysis Transform
  • Singular Value Decomposition
  • Association Rules
  • Kernel Functions
  • Expectation-Maximization
  • Cholesky Decomposition
  • QR Decomposition
  • Outlier Detection
  • Distance Matrix
  • Distributions
  • Engines
  • Moments of Low Order
  • Quantile
  • Quality Metrics
  • Sorting
  • Normalization
  • Optimization Solvers
• Training and Prediction
  • Decision Forest
  • Decision Trees
  • Gradient Boosted Trees
  • Stump
  • Linear and Ridge Regressions
  • LASSO and Elastic Net Regressions
  • k-Nearest Neighbors (kNN) Classifier
  • Implicit Alternating Least Squares
  • Logistic Regression
  • Naïve Bayes Classifier
  • Support Vector Machine Classifier
  • Multi-class Classifier
  • Boosting
  • Training Alternative
• Services
  • Extracting Version Information
  • Handling Errors
  • Managing Memory
  • Managing the Computational Environment
  • Providing a Callback for the Host Application

Examples

You can find examples on Github*:

• C++ (CPU)

• Java* (not supported on GPU)

• Python*

k-d Tree CPU and GPU Support