Intel® oneAPI Data Analytics Library 2024.4.0

oneDAL 2024.4.0

oneDAL is happy to introduce 2024.4.0 release!

🚨 What's New

• Introduced new oneDAL functionality:
  • Distributed dbscan support without allgatherv (memory saving implementation)
  • Added global_context to store information about CPU environment
  • Online distributed basic statistics
  • Hyperparameters added into decision forest classification inference algorithm
  • Added assume_centered flag to Covariance
  • Added dtype dispatcher for Dataframe Intercahnge Protocol in Python

Acknowledgements

Thanks to everyone who helped us make 2024.4.0 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @maria-Petrova, @aepanchi, @emmwalsh, @icfaust, @inteldimitrius, @samir-nasibli, @md-shafiul-alam

Full Changelog: 2024.3.0...2024.4.0

Intel® oneAPI Data Analytics Library 2024.3.0

oneDAL 2024.3.0

oneDAL is happy to introduce 2024.3.0 release!

🚨 What's New

• Introduced new oneDAL functionality:
  • k-Means sparsity support
  • Online support of distributed Covariance algorithm
  • Added inner_iterations_count result option to LogisticRegression

🪲 Bug Fixes

• Fix FPK exports on Windows
• Fix csr_accessor crash when moving data from USM or host memory to host memory

Acknowledgements

Thanks to everyone who helped us make 2024.3.0 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @aepanchi, @icfaust, @inteldimitrius, @maria-Petrova, @samir-nasibli, @md-shafiul-alam

Full Changelog: 2024.2.0...2024.3.0

Intel® oneAPI Data Analytics Library 2024.2.0

oneDAL 2024.2.0

oneDAL is happy to introduce 2024.2.0 release!

🚨 What's New

• Introduced new oneDAL functionality:

  • Optional results in k-Means inference
  • GPU support of SVD method of PCA algorithm

• Improved oneDAL performance for the following algorithms:

  • k-Means

🪲 Bug Fixes

• Fix FPK exports on Windows
• Replace deprecated sycl::abs to sycl::fabs

Acknowledgements

Thanks to everyone who helped us make 2024.2.0 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @aepanchi, @icfaust, @inteldimitrius, @maria-Petrova, @samir-nasibli, @md-shafiul-alam

Full Changelog: 2024.1.0...2024.2.0

Intel® oneAPI Data Analytics Library 2024.1.0

oneDAL 2024.1.0

oneDAL is happy to introduce 2024.1.0 release!

🚨 What's New

• New oneDAL functionality:
  • Enabled distributed computations for LogisticRegression algorithm
  • Basic statistics algorithm for sparse data
• Added new parameters to oneDAL algorithms:
  • Bias parameter to Covariance algorithm
• Improved oneDAL performance for the following algorithms:
  • DBSCAN
  • Distributed version of kNN

Acknowledgements

Thanks to everyone who helped us make 2024.1.0 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @aepanchi, @KulikovNikita, @icfaust, @inteldimitrius, @maria-Petrova, @samir-nasibli, @md-shafiul-alam

Full Changelog: 2024.0.1...2024.1.0

Intel® oneAPI Data Analytics Library 2024.0.1

oneDAL 2024.0.1

oneDAL is happy to introduce 2024.0.1 release!

🚨 What's New

• New oneDAL functionality:
  • Introduced Logistic Regression algorithm
  • Introduced online algorithms support: Moments of Low Order, PCA, Linear Regression
  • Introduced dispatching in oneAPI covariance algorithm
• New Model Builders functionality:
  • SHAP calculation is added to GBT regression

📚 Support Materials

Faster XGBoost*, LightGBM, and CatBoost Inference on the CPU

🔀 Adoption

TPOT2 AutoML integration

Acknowledgements

Thanks to everyone who helped us make 2024.0.1 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @aepanchi, @KulikovNikita, @icfaust, @inteldimitrius, @maria-Petrova, @samir-nasibli, @md-shafiul-alam

Intel® oneAPI Data Analytics Library 2024.0.0

oneDAL 2024.0

oneDAL is happy to introduce 2024.0 release!

🚨 What's New

New oneDAL functionality:

• Online algorithms support: Covariance
• Structure of arrays (SOA) Tables

🚩 Removals and ABI Compatibility

• Starting with the 2024.0 release, the following functionality is deprecated in oneDAL:
  • Compression functionality
  • DAAL CPP SYCL Interfaces
  • Java* interfaces
• ABI compatibility is broken as part of the 2024.0 release of oneDAL. The library’s major version is incremented to two to enforce the relinking of existing applications.

🔨 Library Engineering

• Compressed sparse rows (CSR) accessor has been changed and moved from detail namespace. The support of USM memory was added into this class.
• Centralized parameters selection library has been introduced in the release.

❌ Deprecation Notice

• The following algorithms in DAAL Interfaces are deprecated and will not be supported starting with 2025.0 release:
  • k-Means
  • Covariance
  • PCA
  • Logistic Regression
  • Linear Regression
  • Random Forest
  • kNN
  • SVM
  • DBSCAN
  • Low-order moments
• ABI compatibility is to be broken as part of the 2025.0 release of oneDAL. The library’s major version is to be incremented to three to enforce the relinking of existing applications

Acknowledgements

Thanks to everyone who helped us make 2024.0 release possible!

@avolkov-intel, @Alexsandruss, @ahuber21, @Alexandr-Solovev, @Vika-F, @razdoburdin, @ethanglaser, @napetrov, @aepanchi, @amgrigoriev, @KulikovNikita, @Pahandrovich, @icfaust, @inteldimitrius, @maria-Petrova, @samir-nasibli, @md-shafiul-alam,
@keeranroth, @amgrigoriev

Intel® oneAPI Data Analytics Library 2023.2.1

The release of Intel® oneAPI Data Analytics Library 2023.2.1 introduces the following changes:

🚨 What's New

• sklearn 1.3 support fixes (1, 2, 3)
• Model builders API update

Intel® oneAPI Data Analytics Library 2023.2.0

The release Intel® oneAPI Data Analytics Library 2023.2.0 introduces the following changes:

❌ Deprecation Notice

• The compression functionality in the Intel® oneDAL library is deprecated. Starting with the 2024.0 release, oneDAL will not support the compression functionality
• The DAAL CPP SYCL Interfaces in the Intel® oneDAL library are deprecated. Starting with the 2024.0 release, oneDAL will not support the DAAL CPP SYCL Interfaces
• The Java* interfaces in the Intel® oneDAL library are marked as deprecated. The future releases of the oneDAL library may no longer include support for these Java* interfaces
• ABI compatibility is to be broken as part of the 2024.0 release of Intel® oneDAL. The library’s major version is to be incremented to two to enforce the relinking of existing applications
• macOS* support is deprecated for oneDAL. The 2023.x releases are the last to provide it

🛠️ Library Engineering

• CSR tables interface has been changed and moved from detail namespace

🚨 What's New

• Introduced new Intel® oneDAL functionality:
  • Distributed KMeans++ algorithm
  • Logistic Loss objective algorithm
• Introduced new functionality for Intel® Extension for Scikit-learn:
  • NaN(missing values) support was added to Model Builders
• Improved performance for the following Intel® Extension for Scikit-learn algorithms:
  • Model Builders performance has been improved up to 2x

Intel® oneAPI Data Analytics Library 2023.1.1

The release Intel® oneAPI Data Analytics Library 2023.1.1 introduces the following changes:

🚨 What's New

• Introduced new oneDAL functionality:
  • oneAPI interfaces for Logistic Loss: 98fc59c
  • Random splitting strategy in Decision Forest algorithm: 5e080cf
• Performance fix for features sampling in Decision Forest algorithm: af225ad

Intel® oneAPI Data Analytics Library 2023.1.0

The release Intel® oneAPI Data Analytics Library 2023.1 introduces the following changes:

📚Support Materials

• Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs

🛠️ Library Engineering

• Reduced the size of Intel® oneDAL library by approximately ~30%
• Enabled NuGet distribution channel for Intel® oneDAL on Linux and MacOS

🚨 What's New

• Introduced new Intel® oneDAL functionality:
  • Distributed Linear Regression, kNN, PCA algorithms
• Introduced new functionality for Intel® Extension for Scikit-learn:
  • Enabled PCA, Linear Regression, Random Forest algorithms and SPMD policy as preview
  • Scikit-learn 1.2 support
  • sklearn_is_patched() function added to validate status of algorithms patching
• Improved performance for the following Intel® Extension for Scikit-learn algorithms:
  • t-SNE for “Burnes-Hut” algorithm
  • SVM algorithm for single row inference

❗ Known Issues

• In certain conditions DAAL SYCL interface might hang with L0 backend – please use oneDAL DPC interfaces instead. If older interfaces are required OpenCL backend can be used as workaround.