name: visualize in html
description: visualize dataset in picture written in html
inputs:
  - {name: train_file_path, type: string}
  - {name: commit_sha, type: string}
  - {name: bucket_name, type: string}
outputs:
  - {name: MLPipeline UI metadata, type: UI metadata}
implementation:
  container:
    image: visualizehtml_image_location
    command: ['python', 'visualize.py']
    args: ['--train_file_path', {inputValue: train_file_path},
           '--commit_sha', {inputValue: commit_sha},
           '--bucket_name', {inputValue: bucket_name}]
    fileOutputs: 
      MLPipeline UI metadata: /mlpipeline-ui-metadata.json