Registry / ai-ml / scikit-learn-intelex

scikit-learn-intelex

library2026.1.0pypypiunverified

Intel® Extension for Scikit-learn (formerly daal4py) accelerates scikit-learn algorithms on Intel hardware via patching. Version 2026.0.0 supports Python >=3.7 and scikit-learn 1.6-1.8. Monthly releases.

ai-ml data

pip install scikit-learn-intelex

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · SCIKIT-LEARN-INTEL

scikit-learn-intelex

ai-mlpythonv2026.1.0

Install

13.5s avg

Import

4653ms

Disk

299MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2026.1.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 13.5s · import 3.722s · 288MB

299MB installed

● package 299MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

patch_sklearn

✓ from sklearnex import patch_sklearn

✗ from sklearnex import patch_sklearn

Patch scikit-learn to use Intel-optimized backends, then use scikit-learn API normally.

from sklearnex import patch_sklearn patch_sklearn() from sklearn.linear_model import Ridge ridge = Ridge(alpha=1.0) ridge.fit([[0, 0], [1, 1]], [0, 1]) print(ridge.predict([[0.5, 0.5]]))

Debug

Known issues

gotchaCall patch_sklearn() after importing scikit-learn, but before creating any estimator instances. Patch order matters.

fix

Ensure patch_sklearn() is called early, typically at module level.

affects: all

deprecatedInternal dpctl tensor handling functionality is deprecated and will be removed in a future release.

fix

Avoid relying on dpctl tensor internals; use standard NumPy/PyTorch arrays or dpctl.tensor public API.

affects: >=2025.11.0

breakingscikit-learn-intelex does not support all scikit-learn algorithms (e.g., some ensemble methods still run on original scikit-learn). Check the list of supported algorithms.

fix

Verify algorithm support in the official documentation before relying on acceleration.

affects: all

gotchaIf you import from sklearnex estimators directly (e.g., from sklearnex.linear_model import Ridge), it may not be patched correctly and can conflict with patched scikit-learn.

fix

Use patch_sklearn() and then import from sklearn.* instead of sklearnex.* for consistency.

affects: all

Upgrade

Version history

2026.1.0latest on PyPI · released Jun 10, 2026

Audit

Dependencies

scikit-learnoptionalCore dependency, must be installed separately if not bundled

Agent activity

17 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/uxlfoundation/scikit-learn-intelex ↗

packagehttps://pypi.org/project/scikit-learn-intelex/ ↗

homepagehttps://www.intel.com/content/www/us/en/developer/tools/oneapi/scikit-learn.html ↗

docshttps://uxlfoundation.github.io/scikit-learn-intelex/ ↗