daal4py | sources for daal4py - a convenient Python API to oneDAL | Machine Learning library

by IntelPython Python Version: 2024.4.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | daal4py Summary

daal4py is a Python library typically used in Artificial Intelligence, Machine Learning applications. daal4py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install daal4py' or download it from GitHub, PyPI.

A simplified API to Intel(R) oneAPI Data Analytics Library that allows for fast usage of the framework suited for Data Scientists or Machine Learning users. Built to help provide an abstraction to Intel(R) oneAPI Data Analytics Library for either direct usage or integration into one's own framework and extending this beyond by providing drop-in paching for scikit-learn.

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Quality

Security

License

Reuse

Support

daal4py has a low active ecosystem.

It has 109 star(s) with 62 fork(s). There are 12 watchers for this library.

There were 5 major release(s) in the last 6 months.

There are 30 open issues and 47 have been closed. On average issues are closed in 214 days. There are 15 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of daal4py is 2024.4.0

Quality

daal4py has 0 bugs and 0 code smells.

Security

daal4py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

daal4py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

daal4py is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

daal4py releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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daal4py Key Features

No Key Features are available at this moment for daal4py.

daal4py Examples and Code Snippets

No Code Snippets are available at this moment for daal4py.

Community Discussions

Trending Discussions on daal4py

Python: matplotlib.pyplot.show() is not showing the plot

Unable to install scikit-learn-intelex in Colab

QUESTION

Python: matplotlib.pyplot.show() is not showing the plot

Asked 2021-Nov-03 at 13:35

import matplotlib.pyplot as plt

plt.plot([1,2,3])
plt.show()

input("Press enter to continue...")

...

ANSWER

Answered 2021-Nov-03 at 13:32

As of late, conda and matplotlib have been having issues.

You can try to downgrade freetype from 2.11.0 to 2.10.4 by doing conda install freetype=2.10.4

Source https://stackoverflow.com/questions/69825742

QUESTION

Unable to install scikit-learn-intelex in Colab

Asked 2021-Apr-27 at 19:28

I failed to install scikit-learn-intelex (ver. 2021.2.2) in Colab. Here was what I did in Colab:

...

ANSWER

Answered 2021-Apr-27 at 19:28

Here is a workaround answered by the developer of the package on GitHub:

Google colab is currently running on Debian system. One of the changes you may encounter on a Debian system is dist-packages instead of site-packages. Third party Python software installed from Debian packages goes into dist-packages, not site-packages. We are working on support for Debian systems and it should be fixed in the next release. For now, I can suggest the following workaround:

Source https://stackoverflow.com/questions/67274928

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install daal4py

daal4py is available at the Python Package Index, on Anaconda Cloud in Conda-Forge channel and in Intel channel. You can build daal4py from sources as well.
Accelerate scikit-learn with the core functionality of daal4py without changing the code. Intel CPU optimizations patching. Intel CPU/GPU optimizations patching.