Contents

daal4py 2024.4.0

0

daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL)

daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL)

Stars: 1163, Watchers: 1163, Forks: 168, Open Issues: 72

The intel/scikit-learn-intelex repo was created 5 years ago and the last code push was 57 minutes ago.
The project is very popular with an impressive 1163 github stars!

How to Install daal4py

You can install daal4py using pip

pip install daal4py

or add it to a project with poetry

poetry add daal4py

Package Details

Author
Intel Corporation
License
Apache v2.0
Homepage
https://github.com/IntelPython/daal4py
PyPi:
https://pypi.org/project/daal4py/
Documentation:
https://intelpython.github.io/daal4py/
GitHub Repo:
https://github.com/IntelPython/daal4py

Classifiers

  • Scientific/Engineering
  • Software Development
  • System
No  daal4py  pypi packages just yet.

Errors

A list of common daal4py errors.

Code Examples

Here are some daal4py code examples and snippets.

GitHub Issues

The daal4py package has 72 open issues on GitHub

  • Performance improvement for preview ensemble algorithms (RF and ET)
  • Remove check for NAN for GBT Estimators
  • Unable to use sklearnex after building daal4py from source
  • Model builders API update
  • Add random_state to seed for onedal preview RF/ET
  • FIX: avoid extra converts
  • Building scikit-learn-intelex with openblas/lapack math library with openmp
  • Integrating OneDAL primitives for LogisticRegression
  • ENH: using CCL backend
  • Dependency Dashboard
  • [PCA] nComponents doesn't work in distributed mode
  • Action Required: Fix Renovate Configuration
  • Operate on MPI communicator other than COMM_WORLD
  • Algorithms cannot be pickle'd

See more issues on GitHub

Related Packages & Articles

h2o 3.46.0.2

H2O, Fast Scalable Machine Learning, for python

optimuspyspark 2.2.32

Optimus is the missing framework for cleaning and pre-processing data in a distributed fashion with pyspark.

pycaret 3.3.2

PyCaret - An open source, low-code machine learning library in Python.

yellowbrick 1.5

A suite of visual analysis and diagnostic tools for machine learning.

skorch 0.15.0

scikit-learn compatible neural network library for pytorch

sweetviz 2.3.1

A pandas-based library to visualize and compare datasets.