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