mitre 1.0b1-foss-2019b-Python-2.7.16MITRE learns predictive models of patient outcomes from microbiome time-series data in the form of short lists of interpretable rules.
Accessing mitre 1.0b1-foss-2019b-Python-2.7.16
To load the module for mitre 1.0b1-foss-2019b-Python-2.7.16 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load mitre/1.0b1-foss-2019b-Python-2.7.16
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.
- mitre 1.0b1
- pypolyagamma 1.2.3
For more information visit the mitre website.
This version of mitre has a direct dependency on: ETE/3.1.2-foss-2019b-Python-2.7.16 foss/2019b matplotlib/2.2.5-foss-2019b-Python-2.7.16 Python/2.7.16-GCCcore-8.3.0 scikit-learn/0.20.4-foss-2019b-Python-2.7.16 SciPy-bundle/2019.10-foss-2019b-Python-2.7.16 tqdm/4.41.1-GCCcore-8.3.0
Last modified on 9th November 2020