Intel® oneAPI Data Analytics Library Developer Guide and Reference

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ID 772611
Date 12/16/2022
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Document Table of Contents
Document Table of Contents x
Intel® oneAPI Data Analytics Library (oneDAL)
Intel® oneAPI Data Analytics Library (oneDAL) x
oneAPI vs. DAAL Interfaces Data Analytics Pipeline Installation System Requirements oneAPI Interfaces DAAL Interfaces Bibliography C++ API Notices and Disclaimers
oneAPI Interfaces x
Introduction Computational Modes Data Management Algorithms Single Program Multiple Data oneAPI Examples Appendix
Introduction x
Build applications with oneDAL Glossary Mathematical Notations
Data Management x
Array Accessors Data Sources Graphs Tables
Accessors x
Column accessor Row accessor
Data Sources x
CSV data source
Graphs x
Undirected adjacency vector graph Directed adjacency vector graph
Tables x
Homogeneous table
Algorithms x
Clustering Covariance Decomposition Ensembles Graph Kernel Functions Nearest Neighbors (kNN) Pairwise Distances Statistics Support Vector Machines
Clustering x
DBSCAN K-Means K-Means initialization
Covariance x
Covariance
Decomposition x
Principal Components Analysis (PCA)
Ensembles x
Decision Forest Classification and Regression (DF)
Graph x
Subgraph Isomorphism Connected Components
Kernel Functions x
Linear kernel Polynomial kernel Radial Basis Function (RBF) kernel Sigmoid kernel
Nearest Neighbors (kNN) x
k-Nearest Neighbors Classification and Search (k-NN)
Pairwise Distances x
Minkowski distance Chebyshev distance Cosine distance
Statistics x
Basic Statistics
Support Vector Machines x
Support Vector Machine Classifier and Regression (SVM)
oneAPI Examples x
DPC++ C++
DPC++ x
basic_statistics_dense_batch.cpp column_accessor_homogen.cpp cor_dense_batch.cpp cov_dense_batch.cpp dbscan_brute_force_batch.cpp df_cls_hist_batch.cpp df_cls_traverse_model.cpp df_reg_hist_batch.cpp df_reg_traverse_model.cpp kmeans_init_dense.cpp kmeans_lloyd_dense_batch.cpp knn_cls_brute_force_dense_batch.cpp knn_reg_brute_force_dense_batch.cpp knn_search_brute_force_dense_batch.cpp linear_kernel_dense_batch.cpp linear_regression_dense_batch.cpp pca_cor_dense_batch.cpp pca_precomputed_cor_dense_batch.cpp pca_precomputed_cov_dense_batch.cpp rbf_kernel_dense_batch.cpp svm_two_class_thunder_dense_batch.cpp
C++ x
basic_statistics_dense_batch.cpp column_accessor_homogen.cpp connected_components_batch.cpp cor_dense_batch.cpp cov_dense_batch.cpp dbscan_brute_force_batch.cpp df_cls_dense_batch.cpp df_reg_dense_batch.cpp directed_graph.cpp graph_service_functions.cpp jaccard_batch.cpp jaccard_batch_app.cpp kmeans_init_dense.cpp kmeans_lloyd_dense_batch.cpp knn_cls_brute_force_dense_batch.cpp knn_cls_kd_tree_dense_batch.cpp knn_search_brute_force_dense_batch.cpp linear_kernel_dense_batch.cpp linear_regression_dense_batch.cpp louvain_batch.cpp pca_dense_batch.cpp pca_precomputed_dense_batch.cpp polynomial_kernel_dense_batch.cpp rbf_kernel_dense_batch.cpp shortest_paths_batch.cpp sigmoid_kernel_dense_batch.cpp subgraph_isomorphism_batch.cpp svm_multi_class_thunder_dense_batch.cpp svm_nu_cls_thunder_dense_batch.cpp svm_nu_reg_thunder_dense_batch.cpp svm_reg_thunder_dense_batch.cpp svm_two_class_smo_dense_batch.cpp svm_two_class_thunder_dense_batch.cpp triangle_counting_batch.cpp
Appendix x
Decision Tree k-d Tree
DAAL Interfaces x
CPU and GPU Support Library Usage Data Management Analysis Training and Prediction Services
Library Usage x
Algorithms Computation Modes Training and Prediction
Training and Prediction x
Classification Usage Model Regression Usage Model Recommendation Systems Usage Model
Data Management x
Numeric Tables Data Sources Data Dictionaries Data Serialization and Deserialization Data Compression Data Model
Numeric Tables x
Generic Interfaces Essential Interfaces for Algorithms Types of Numeric Tables
Analysis x
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
K-Means Clustering x
Batch Processing Distributed Processing Batch Processing Distributed Processing
Density-Based Spatial Clustering of Applications with Noise x
Batch Processing Distributed Processing
Correlation and Variance-Covariance Matrices x
Batch Processing Online Processing Distributed Processing
Principal Component Analysis x
Batch Processing Online Processing Distributed Processing
Singular Value Decomposition x
Batch and Online Processing Distributed Processing
QR Decomposition x
QR Decomposition without Pivoting Pivoted QR Decomposition
QR Decomposition without Pivoting x
Batch and Online Processing Distributed Processing
Outlier Detection x
Multivariate Outlier Detection Multivariate BACON Outlier Detection Univariate Outlier Detection
Distance Matrix x
Correlation Distance Matrix Cosine Distance Matrix
Distributions x
Uniform Distribution Normal Distribution Bernoulli Distribution
Engines x
mt19937 mcg59 mt2203
Moments of Low Order x
Batch Processing Online Processing Distributed Processing
Quality Metrics x
Working with the Default Metric Set Working with User-defined Quality Metrics
Working with the Default Metric Set x
Quality Metrics for Binary Classification Algorithms Quality Metrics for Multi-class Classification Algorithms Quality Metrics for Linear Regression Quality Metrics for Principal Components Analysis
Normalization x
Z-score Min-max
Optimization Solvers x
Objective Function Iterative Solver
Objective Function x
Computation Sum of Functions Mean Squared Error Algorithm Objective Function with Precomputed Characteristics Algorithm Logistic Loss Cross-entropy Loss
Iterative Solver x
Computation Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm Stochastic Gradient Descent Algorithm Adaptive Subgradient Method Coordinate Descent Algorithm Stochastic Average Gradient Accelerated Method
Training and Prediction x
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
Decision Forest x
Decision Forest Regression Decision Forest Classification Decision Forest
Decision Trees x
Decision Tree Regression Decision Tree Classification Decision Tree
Gradient Boosted Trees x
Gradient Boosted Trees Regression Gradient Boosted Trees Classification Gradient Boosted Trees
Stump x
Classification Stump Regression Stump
Linear and Ridge Regressions x
Linear Regression Ridge Regression Linear and Ridge Regressions Computation
LASSO and Elastic Net Regressions x
LASSO Elastic Net LASSO and Elastic Net Computation
Implicit Alternating Least Squares x
Batch Processing Distributed Processing Batch Processing Distributed Processing: Training Distributed Processing: Prediction of Ratings
Naïve Bayes Classifier x
Batch Processing Online Processing Distributed Processing
Boosting x
AdaBoost Classifier AdaBoost Multiclass Classifier BrownBoost Classifier LogitBoost Classifier
Services x
Extracting Version Information Handling Errors Managing Memory Managing the Computational Environment Providing a Callback for the Host Application
C++ API x
Data Management Algorithms Distributed Model: Single Process Multiple Data
Data Management x
Array Accessors Data Sources Graphs Graph Service Tables
Accessors x
Column accessor Row accessor
Data Sources x
CSV data source
Graphs x
Undirected adjacency vector graph Directed adjacency vector graph
Graph Service x
Undirected adjacency vector graph service Directed adjacency vector graph service
Tables x
Homogeneous table
Algorithms x
Clustering Covariance Decomposition Ensembles Graph Kernel Functions Nearest Neighbors (kNN) Pairwise Distances Statistics Support Vector Machines
Clustering x
DBSCAN K-Means K-Means initialization
Covariance x
Covariance
Decomposition x
Principal Components Analysis (PCA)
Ensembles x
Decision Forest Classification and Regression (DF)
Graph x
Subgraph Isomorphism Connected Components
Kernel Functions x
Linear kernel Polynomial kernel Radial Basis Function (RBF) kernel Sigmoid kernel
Nearest Neighbors (kNN) x
k-Nearest Neighbors Classification (k-NN)
Pairwise Distances x
Minkowski distance Chebyshev distance Cosine distance
Statistics x
Basic Statistics
Support Vector Machines x
Support Vector Machine Classifier (SVM)
Distributed Model: Single Process Multiple Data x
Distributed SPMD model Communicators
Intel® oneAPI Data Analytics Library (oneDAL)

Intel® oneAPI Data Analytics Library (oneDAL)

Intel® oneAPI Data Analytics Library (oneDAL) is a library that helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation. The library provides two different sets of C++ interfaces: oneAPI and DAAL.

For general information, refer to Intel® oneAPI Data Analytics Library official page.

oneAPI vs. DAAL Interfaces

  • oneAPI Interfaces are based on open oneDAL specification and are currently under an active development. They work on various hardware but only a limited set of algorithms is available at the moment.

  • DAAL Interfaces are CPU-only interfaces that provide implementations for a wide range of algorithms.

Developer Guide

API Reference

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