daal · PyPI

Intel® oneAPI Data Analytics Library

These details have not been verified by PyPI

Project links

Homepage

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.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

2025.0.0

Oct 25, 2024

2024.7.0

Sep 17, 2024

2024.6.0

Aug 7, 2024

2024.5.0

Jun 20, 2024

2024.4.0

May 13, 2024

2024.3.0

Apr 11, 2024

2024.2.0

Mar 26, 2024

This version

2024.1.0

Jan 23, 2024

2024.0.1

Nov 28, 2023

2024.0.0

Nov 14, 2023

2023.2.1

Jul 21, 2023

2023.2.0

Jul 14, 2023

2023.1.1

Apr 6, 2023

2023.1.0

Mar 30, 2023

2023.0.2

Jan 23, 2023

2023.0.1

Jan 9, 2023

2023.0.0

Dec 15, 2022

2021.7.1

Nov 8, 2022

2021.7.0

Sep 21, 2022

2021.6.0

Apr 27, 2022

2021.5.4

Mar 3, 2022

2021.5.3

Jan 21, 2022

2021.5.1

Dec 17, 2021

2021.5.0

Dec 2, 2021

2021.4.0

Sep 28, 2021

2021.3.0

Jun 28, 2021

2021.2.3

May 27, 2021

2021.2.2

Apr 5, 2021

2020.0.133

Nov 13, 2019

2019.0

Sep 18, 2018

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

daal-2024.1.0-py2.py3-none-win_amd64.whl (56.6 MB view details)

Uploaded Jan 23, 2024 Python 2 Python 3 Windows x86-64

daal-2024.1.0-py2.py3-none-manylinux1_x86_64.whl (75.3 MB view details)

Uploaded Jan 23, 2024 Python 2 Python 3

File details

Details for the file daal-2024.1.0-py2.py3-none-win_amd64.whl.

File metadata

Download URL: daal-2024.1.0-py2.py3-none-win_amd64.whl
Upload date: Jan 23, 2024
Size: 56.6 MB
Tags: Python 2, Python 3, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for daal-2024.1.0-py2.py3-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`704be87631e9d3d97b5b7be7f3cc12d018778e8f23e9dca2b88d98ec7a63e709`
MD5	`c8d17f74c999e3d45bb1db54b8ed59c0`
BLAKE2b-256	`27584de84edaee6de4d62c633f9ed62deeeacfcfc92fe0859097aa4397711d21`

See more details on using hashes here.

File details

Details for the file daal-2024.1.0-py2.py3-none-manylinux1_x86_64.whl.

File metadata

Download URL: daal-2024.1.0-py2.py3-none-manylinux1_x86_64.whl
Upload date: Jan 23, 2024
Size: 75.3 MB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for daal-2024.1.0-py2.py3-none-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`6b19b73ce69cfd78c1ddc2fa55c224128baa241184a49f6dd682a194b103d396`
MD5	`1b061cab4c1f6e3918bb3cfcb37fe625`
BLAKE2b-256	`d08b2e9e132204baffd13c3c81672eb36e9b3fbb20d6433ff0a9b520dd14432a`