scikit-learn 0.20.3-foss-2019a

There is a newer version of scikit-learn

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.

Accessing scikit-learn 0.20.3-foss-2019a

To load the module for scikit-learn 0.20.3-foss-2019a please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load scikit-learn/0.20.3-foss-2019a

BEAR Apps Version

2019a

Architectures

EL8-cascadelake

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 scikit-learn website.

Dependencies

This version of scikit-learn has a direct dependency on: foss/2019a Python/2.7.15-GCCcore-8.2.0 Python/3.7.2-GCCcore-8.2.0 SciPy-bundle/2019.03-foss-2019a

This version of scikit-learn is compatible with multiple vesions of Python. At any time, only one of the versions of Python can be active and the desired version of Python should be loaded before loading this version of scikit-learn.

Required By

This version of scikit-learn is a direct dependent of: DeepMod/0.1.1-foss-2019a-Python-3.7.2 FMRIprep/20.0.6-foss-2019a-Python-3.7.2 FMRIprep/20.2.0-foss-2019a-Python-3.7.2 FMRIprep/1.5.1-foss-2019a-Python-3.7.2 MNE-Python/0.19.1-foss-2019a-Python-3.7.2 scikit-multiflow/0.4.1-foss-2019a-Python-3.7.2 sklearn-crfsuite/0.3.6-foss-2019a-Python-3.7.2 talos/0.6.3-foss-2019a-Python-3.7.2 velocyto/0.17.17-foss-2019a-Python-3.7.2

Other Versions

These versions of scikit-learn are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 21st August 2019