Intel® oneAPI Data Analytics Library Developer Guide and Reference

Download PDF
ID 772611
Date 7/13/2023
Public

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents
Document Table of Contents x
Intel® oneAPI Data Analytics Library (oneDAL)
Intel® oneAPI Data Analytics Library (oneDAL) x
Data Analytics Pipeline Installation System Requirements oneAPI Interfaces DAAL Interfaces Mathematical Notations C++ API Deprecation Notice 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 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 Compressed Sparse Rows (CSR) Table
Algorithms x
Clustering Covariance Decomposition Ensembles Graph Mathematical Notations Nearest Neighbors (kNN) Objective function Pairwise Distances Statistics Support Vector Machines
Clustering x
DBSCAN Mathematical Notations Mathematical Notations
Covariance x
Covariance
Decomposition x
Mathematical Notations
Ensembles x
Mathematical Notations
Graph x
Subgraph Isomorphism Connected Components
Mathematical Notations x
Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations
Nearest Neighbors (kNN) x
Mathematical Notations
Objective function x
Logistic Loss
Pairwise Distances x
Mathematical Notations Mathematical Notations Mathematical Notations
Statistics x
Basic Statistics
Support Vector Machines x
Mathematical Notations
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_hist_batch_random.cpp df_cls_traverse_model.cpp df_reg_hist_batch.cpp df_reg_hist_batch_random.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 csr_accessor.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 logloss_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_csr_batch.cpp svm_multi_class_thunder_dense_batch.cpp svm_nu_cls_thunder_csr_batch.cpp svm_nu_cls_thunder_dense_batch.cpp svm_nu_reg_thunder_csr_batch.cpp svm_nu_reg_thunder_dense_batch.cpp svm_reg_thunder_csr_batch.cpp svm_reg_thunder_dense_batch.cpp svm_two_class_smo_csr_batch.cpp svm_two_class_smo_dense_batch.cpp svm_two_class_thunder_csr_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
Mathematical Notations Mathematical Notations Correlation and Variance-Covariance Matrices Mathematical Notations Principal Components Analysis Transform Singular Value Decomposition Association Rules Mathematical Notations Mathematical Notations Cholesky Decomposition QR Decomposition Outlier Detection Distance Matrix Distributions Engines Moments of Low Order Mathematical Notations Quality Metrics Sorting Normalization Mathematical Notations
Mathematical Notations x
Batch Processing Distributed Processing Batch Processing Distributed Processing
Mathematical Notations x
Batch Processing Distributed Processing
Correlation and Variance-Covariance Matrices x
Batch Processing Online Processing Distributed Processing
Mathematical Notations x
Batch Processing Online Processing Distributed Processing
Singular Value Decomposition x
Batch and Online Processing Distributed Processing
QR Decomposition x
Mathematical Notations Mathematical Notations
Mathematical Notations x
Batch and Online Processing Distributed Processing
Outlier Detection x
Mathematical Notations Multivariate BACON Outlier Detection Mathematical Notations
Distance Matrix x
Mathematical Notations Mathematical Notations
Distributions x
Mathematical Notations Mathematical Notations Mathematical Notations
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 Mathematical Notations Quality Metrics for Linear Regression Mathematical Notations
Normalization x
Mathematical Notations Mathematical Notations
Mathematical Notations x
Mathematical Notations Mathematical Notations
Mathematical Notations x
Computation Mathematical Notations Mathematical Notations Objective Function with Precomputed Characteristics Algorithm Mathematical Notations Mathematical Notations
Mathematical Notations x
Computation Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations
Training and Prediction x
Decision Forest Decision Trees Gradient Boosted Trees Stump Linear and Ridge Regressions LASSO and Elastic Net Regressions Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations Multi-class Classifier Boosting
Decision Forest x
Mathematical Notations Mathematical Notations Mathematical Notations
Decision Trees x
Mathematical Notations Mathematical Notations Mathematical Notations
Gradient Boosted Trees x
Mathematical Notations Mathematical Notations Mathematical Notations
Stump x
Classification Stump Regression Stump
Linear and Ridge Regressions x
Mathematical Notations Mathematical Notations Linear and Ridge Regressions Computation
LASSO and Elastic Net Regressions x
Mathematical Notations Mathematical Notations Mathematical Notations
Mathematical Notations x
Batch Processing Input Parameters Output Distributed Processing Batch Processing Distributed Processing: Training Distributed Processing: Prediction of Ratings
Mathematical Notations x
Batch Processing Online Processing Distributed Processing
Boosting x
Mathematical Notations Mathematical Notations Mathematical Notations Mathematical Notations
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 Compressed Sparse Rows (CSR) Table
Algorithms x
Clustering Covariance Decomposition Ensembles Graph Kernel Functions Nearest Neighbors (kNN) Objective function 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)
Objective function x
Objective function Logistic Loss
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)

Batch Processing

Level Two Title