sklearn-pandas 2.2.0-foss-2022a

This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides a way to map DataFrame columns to transformations, which are later recombined into features.

Accessing sklearn-pandas 2.2.0-foss-2022a

To load the module for sklearn-pandas 2.2.0-foss-2022a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load sklearn-pandas/2.2.0-foss-2022a

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the sklearn-pandas website.

Dependencies

This version of sklearn-pandas has a direct dependency on: foss/2022a Python/3.10.4-GCCcore-11.3.0 scikit-learn/1.1.2-foss-2022a

Last modified on 18th May 2023