MLproject

# Author: Luis Kuhn Cuellar
# Email: luis.kuhn@gmail.com
# Version: 0.1.0-SNAPSHOT
# License: MIT


name: biomedical_image_segmentation

# conda_env: environment.yml
docker_env:
  image: ghcr.io/luiskuhn/biomedical_image_segmentation:0.1.0-SNAPSHOT
  volumes: ["${PWD}/data:/data"]

entry_points:
  main:
    parameters:
      cuda: {type: string, default: 'True'}
      epochs: {type: int, default: 5}
      general-seed: {type: int, default: 0}
      pytorch-seed: {type: int, default: 0}
      training-batch-size: {type: int, default: 64}
      test-batch-size: {type: int, default: 1000}
      learning-rate: {type: float, default: 0.01}
      log-interval: {type: int, default: 100}
    command: |
          python biomedical_image_segmentation/biomedical_image_segmentation.py \
            --cuda {cuda} \
            --epochs {epochs} \
            --general-seed {general-seed} \
            --pytorch-seed {pytorch-seed} \
            --training-batch-size {training-batch-size} \
            --test-batch-size {test-batch-size} \
            --learning-rate {learning-rate} \
            --log-interval {log-interval}