ML Basic

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Version 1.0.1
ML Basic
Maintainers
support[at]europeanweather.cloud
Support level
EWC
Category
Machine Learning & AI GPU-accelerated
Technology
Ansible Playbook

ML Basic

Create a conda environment with the basic Machine Learning packages such as torch, xgboost, and scikit-learn. Check files/env.yml for all the details on the software included.

Requirements

This ansible role depends on ewc-ansible-role-conda

Role Variables

  • ml_basic_env_wipe: Boolean to decide whether to wipe the environment if exists prior to a reinstallation. Default: no
  • ml_basic_env_name: Name of the environment containing the software stack. Default: ml-basic
  • ml_basic_env_path: Path to the environment containing the software stack. Default: {{ conda_prefix }}/envs/{{ ml_basic_env_name }}
  • ml_basic_create_ipykernel: Boolean to create a system-wide kernel available. Default: yes
  • conda_prefix: Prefix where conda is installed. Default: /opt/conda
  • conda_user: User owning the conda installation. Default: root

Example Playbook

- hosts: all
  roles:
    -  ewc-ansible-role-ml-basic

License

Apache 2.0.

Author Information

ECMWF for the European Weather Cloud

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Other
Deployable
EWCCLI-compatible