scikit-learn (intel)

Version:

1.1.2 (intel), 1.3.1 (iimkl)

Category:

data

Cluster:

Vali

Author / Distributor

https://scikit-learn.org/stable/index.html

Description

Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.

Documentation

>>> import sklearn
>>> sklearn.__version__
'1.1.2'

Common APIs:
------------
sklearn.model_selection.train_test_split
sklearn.ensemble.RandomForestClassifier
sklearn.linear_model.LogisticRegression
sklearn.preprocessing.StandardScaler
sklearn.pipeline.make_pipeline
sklearn.metrics.accuracy_score

Help:
  >>> help(sklearn)
  >>> from sklearn import datasets, model_selection

Examples/Usage

• List available modules:

  $ module avail scikit-learn
  

• Load the scikit module:

  $ module load data/scikit-learn/1.1.2-foss-2022a
  

• Check the loaded modules:

  $ module list
  

• Unload the scikit module:

  $ module unload data/scikit-learn/1.1.2-foss-2022a
  

Installation

Source code is obtained from scikit-learn