name: FlowerClassifier

conda_env: conda.yaml

entry_points:
  # train Keras DL model
  main:
    parameters:
      training_data: {type: string, default: "./flower_photos"}
      epochs: {type: int, default: 1}
      image_width: {type: int, default: 224}
      image_height: {type: int, default: 224}
      batch_size: {type: int, default: 16}
      test_ratio: {type: float, default: 0.2}
      seed: {type: int, default: 97531}
    command: "python train.py --training-data {training_data}
                              --batch-size {batch_size}
                              --epochs {epochs}
                              --image-width {image_width}
                              --image-height {image_height}
                              --test-ratio {test_ratio}"

