autogen/test/pipeline_tuning_example/data_prep/data_prep.yaml

$schema: https://componentsdk.azureedge.net/jsonschema/CommandComponent.json
name: data_prep
version: 0.0.1
display_name: Data preparation for training
type: CommandComponent
inputs:
  data:
    type: path
  test_train_ratio:
    type: float
outputs:
  train_data:
    type: path
  test_data:
    type: path
environment:
  conda:
    conda_dependencies_file: env.yaml
  os: Linux

command: >-
  python data_prep.py 
  --data {inputs.data}
  --test_train_ratio {inputs.test_train_ratio}
  --train_data {outputs.train_data}
  --test_data {outputs.test_data}