oneAPI Data Analytics Library (oneDAL)¶
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 oneDAL GitHub* repository.
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.
Get Started
Developer Guide
- oneAPI Interfaces
- DAAL Interfaces
- CPU and GPU Support
- Library Usage
- 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
- Examples
- Bibliography
- Deprecation Notice
Developer Reference