iterative-Random-Forest 0.2.5-foss-2020b
Deprecated: Use of this version of iterative-Random-Forest is deprecated. More information on our Applications Support and Retention Policy.
Uses Iterative Random Forests to detect predictive and stable high-order interactions, PNAS https://www.pnas.org/content/115/8/1943Accessing iterative-Random-Forest 0.2.5-foss-2020b
To load the module for iterative-Random-Forest 0.2.5-foss-2020b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load iterative-Random-Forest/0.2.5-foss-2020b
BEAR Apps Version
Extensions
- iterative-Random-Forest-0.2.5
- py4j 0.10.9
- pydotplus 2.0.2
- pyfpgrowth 1.0
- pyspark 3.1.2
More Information
For more information visit the iterative-Random-Forest website.
Dependencies
This version of iterative-Random-Forest has a direct dependency on: foss/2020b IPython/7.18.1-GCCcore-10.2.0 JupyterLab/2.2.8-GCCcore-10.2.0 matplotlib/3.3.3-foss-2020b Python/3.8.6-GCCcore-10.2.0 PyYAML/5.3.1-GCCcore-10.2.0 PyZMQ/22.1.0-GCCcore-10.2.0 scikit-learn/0.23.2-foss-2020b SciPy-bundle/2020.11-foss-2020b
Last modified on 25th August 2021