Intel® oneAPI Data Analytics Library
Project description
Intel® oneAPI Data Analytics Library (Intel® oneDAL) 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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
File details
Details for the file daal-2023.0.0-py2.py3-none-win_amd64.whl.
File metadata
- Download URL: daal-2023.0.0-py2.py3-none-win_amd64.whl
- Upload date:
- Size: 67.8 MB
- Tags: Python 2, Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 15b3f184709b1a33316662dbab2e45c104e2528534734e803597a872d3bb1f4a |
|
| MD5 | 5923c671740b9b971dccc462f05b9cc2 |
|
| BLAKE2b-256 | e1e3e6938bda33c6d2a05f3bd25c3fbd81b9642d8164b4cba5b9965295c07dc0 |
File details
Details for the file daal-2023.0.0-py2.py3-none-manylinux1_x86_64.whl.
File metadata
- Download URL: daal-2023.0.0-py2.py3-none-manylinux1_x86_64.whl
- Upload date:
- Size: 272.0 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 93516a8b4d40dc1ff6b2b30dba2ed3a37ec4776ea00b0b852e7406aea2d21896 |
|
| MD5 | e67a5dccbb2fc007057f1e624546fec4 |
|
| BLAKE2b-256 | de978e5832bb3c98725c17daa636859ed2fa4dccee8e00352a9a673523e0e5d1 |
File details
Details for the file daal-2023.0.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl.
File metadata
- Download URL: daal-2023.0.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl
- Upload date:
- Size: 154.4 MB
- Tags: Python 2, Python 3, macOS 10.15+ x86-64, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 00f762d2bfb94b3649a6a86bbaf32a6ba78ea47b6cee57eb5544bf93bf9eabc6 |
|
| MD5 | cd7f96ca04f5eb77ece84be6c1cd1ef3 |
|
| BLAKE2b-256 | 7b9b0e9b2a1c4099a38d78eed083f8718b525c364cd77f27fca9c42a4ec01c3f |
