SHAP 0.35.0-foss-2019b-Python-3.7.4SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions.
Accessing SHAP 0.35.0-foss-2019b-Python-3.7.4
To load the module for SHAP 0.35.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load SHAP/0.35.0-foss-2019b-Python-3.7.4
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the SHAP website.
This version of SHAP has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 scikit-learn/0.21.3-foss-2019b-Python-3.7.4 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 tqdm/4.41.1-GCCcore-8.3.0
Last modified on 8th April 2020