The AOCL-Data Analytics Library (AOCL-DA) provides optimized building blocks for data analysis and classical machine learning. APIs are available in C, C++, and Python. There is also a patch to enable scikit-learn users to benefit from the performance of AOCL-DA with minimal code changes.
Highlights of AOCL-Data Analytics 5.0
- Support for loading data from CSV files
- Ability to preprocess data by standardizing, removing missing values, and selecting subsets
- Ability to process data using any of the following algorithms:
- Linear models, including logistic regression, lasso and ridge regression
- k-means clustering
- principal component analysis and singular value decomposition
- k-nearest neighbors
- decision trees and random forests
- nonlinear least squares fitting
- basic statistics
Documentation
- Source code: GitHub
- AOCL-DA API Guide
Downloads
| File Name | Version | Size | Launch Date | OS | Bitness | Description |
| Binary Packages Compiled with AOCC 5.0 | ||||||
| aocl-da-linux-aocc-5.0.0.tar.gz | 5.0 | 8.7MB | 10/10/2024 | RHEL, Ubuntu, SLES | 64-bit | AOCC compiled AOCL-Data Analytics library binary package sha256 Checksum: 7a2bc4b2a45c8ae94318ec638332c5c62a82818eda529f6c7e79751c552061e5 |
| Binary Packages Compiled with GCC 13.2.1 | ||||||
| aocl-da-linux-gcc-5.0.0.tar.gz | 5.0 | 8.7MB | 10/10/2024 | RHEL, Ubuntu, SLES | 64-bit | GCC compiled AOCL-Data Analytics library binary package sha256 Checksum: 094a87dc75a96433cf9fca4619811b173ffed28869be52be496aa17d51b49aff |
| Windows Installer Containing AOCL-Data Analytics | ||||||
| AOCL_Windows-setup-5.0.0.384-AMD.exe | 5.0 | 104MB | 10/10/2024 | Windows 11, Windows 10 | 64-bit | Windows installer file containing all the AOCL library binaries compiled with Clang 17. sha256sum: 026405b98e2cf3c529bacdf76eb6e43935b639ed2ab8e90cba22bb992ecf13de |
Python Wheels
| File Name | Version | Python Version | Size | Launch Date | OS | Bitness | Description |
| aoclda-5.0.0-cp39-cp39-linux_x86_64.whl | 5.0 | 3.9 | 27MB | Page go-live date | RHEL, Ubuntu, SLES | 64-bit | Python package of the AOCC compiled AOCL-Data Analytics library sha256 Checksum: a78d6e1f846b4c0ec262a2f19293c71ae84e99b89de4e74b27e8520e878c7557 |
| aoclda-5.0.0-cp310-cp310-linux_x86_64.whl | 5.0 | 3.10 | 27MB | Page go-live date | RHEL, Ubuntu, SLES | 64-bit | Python package of the AOCC compiled AOCL-Data Analytics library sha256 Checksum: d4befd998ba2a5f12deedd3dcf02b44cd21bf697413f7e5371d99fdcb7682304 |
| aoclda-5.0.0-cp311-cp311-linux_x86_64.whl | 5.0 | 3.11 | 27MB | Page go-live date | RHEL, Ubuntu, SLES | 64-bit | Python package of the AOCC compiled AOCL-Data Analytics library sha256 Checksum: 18190c9eedf21f2f0499c4a39a9e44245a3e282ef751642ed066d8e3e8d123dc |
| aoclda-5.0.0-cp312-cp312-linux_x86_64.whl | 5.0 | 3.12 | 27MB | Page go-live date | RHEL, Ubuntu, SLES | 64-bit | Python package of the AOCC compiled AOCL-Data Analytics library sha256 Checksum: 189fbd8e34756117193383a57137b39f293a18bd24986fabef56ccb371e5d444 |