.rst .pdf

Contents

DAAL Interfaces

This chapter documents algorithms implemented in DAAL interfaces. See oneAPI Interfaces to find documentation on oneAPI interfaces. Refer to oneAPI vs. DAAL Interfaces to learn the difference between them.

• CPU and GPU Support
• 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)

• Python*

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CPU and GPU Support