pipeline.yml

$schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
type: pipeline

display_name: 1a_e2e_local_components
description: Dummy train-score-eval pipeline with local components

inputs:
  pipeline_job_training_max_epocs: 20
  pipeline_job_training_learning_rate: 1.8
  pipeline_job_learning_rate_schedule: 'time-based'

outputs: 
  pipeline_job_trained_model:
    mode: upload
  pipeline_job_evaluation_report:
    mode: upload

jobs:
  train_job:
    type: command
    compute: azureml:cpu-cluster
    component: file:./train.yml
    inputs:
      training_data: 
        type: uri_folder
        path: ./data
      max_epocs: ${{parent.inputs.pipeline_job_training_max_epocs}}
      learning_rate: ${{parent.inputs.pipeline_job_training_learning_rate}}
      learning_rate_schedule: ${{parent.inputs.pipeline_job_learning_rate_schedule}}
    outputs:
      model_output: ${{parent.outputs.pipeline_job_trained_model}}
  
  score_job:
    type: command
    component: file:./score.yml
    compute: azureml:cpu-cluster
    inputs:
      model_input: ${{parent.jobs.train_job.outputs.model_output}}
      test_data: 
        type: uri_folder
        path: ./data
    outputs:
      score_output: 
        mode: upload

  evaluate_job:
    type: command
    component: file:./eval.yml
    compute: azureml:cpu-cluster
    inputs:
      scoring_result: ${{parent.jobs.score_job.outputs.score_output}}
    outputs:
      eval_output: ${{parent.outputs.pipeline_job_evaluation_report}}