• 2019
  • 09/11/2018
  • Public Content
Contents

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making.
Algorithms implemented in the library include:
  • Moments of low order and quantiles
  • K-Means clustering
  • Classification algorithms, including boosting algorithms and Naïve Bayes, Support Vector Machine (SVM), and multi-class classifiers
  • Neural network algorithms
This document provides you with the DAAL application programming interface (API) for C++. To download the offline version, please visit https://software.intel.com/en-us/articles/daal-api-reference .
 
 

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804