MLproject

name: Fuzzy Segmentation

# conda_env: my_env.yaml
# Can have a docker_env instead of a conda_env, e.g.
# docker_env:
#    image:  mlflow-docker-example

entry_points:
  sentimentcasestudy:
    parameters:
      data_file: path
      rankings_outof: {type: int, default: 5}
      fuzzy_segmentations: {type: boolean, default: False}
      is_rst: {type: boolean, default: False}
    command: "python micro_logic.py sentimentcasestudy {data_file} {rankings_outof} {is_rst} {fuzzy_segmentations}"
  # validate:
  #   parameters:
  #     data_file: path
  #   command: "python validate.py {data_file}"
  # mlflow run PhD  -e sentimentcasestudy -P data_file="dependencies/phd_datasets/sentiment_data"