oneDAL - AshokBhat/ml GitHub Wiki

About

• oneAPI Data Analytics Library
• Optimized algorithmic building blocks for data analysis stages
• most commonly associated with solving Big Data problems

Supported Algorithms:

• Apriori for Association Rules Mining
• Correlation and Variance-Covariance Matrices
• Decision Forest for Classification and Regression
• Expectation-Maximization Using a Gaussian Mixture Model (EM-GMM)
• Gradient Boosted Trees (GBT) for Classification and Regression
• Alternating Least Squares (ALS) for Collaborative Filtering
• Multinomial Naïve Bayes Classifier
• Multiclass Classification Using a One-Against-One Strategy
• Limited-Memory BFGS (L-BFGS) Optimization Solver
• Logistic Regression with L1 and L2 regularization support
• Limited-Memory BFGS (L-BFGS) Optimization Solver
• Linear Regression

Supported CPU & GPU Algorithms via SYCL Interfaces:

• K-Means Clustering
• K-Nearest Neighbor (KNN)
• Support Vector Machines (SVM) with Linear and Radial Basis Function (RBF) Kernels
• Principal Components Analysis (PCA)
• Density-based Special Clustering of Applications with Noise (DBSCAN)
• Random Forest

Users

• Popular data platforms including Hadoop, Spark, R, and Matlab

See also