Chest-Cancer-Classification/dvc.yaml at main · CodeBy-HP/Chest-Cancer-Classification · GitHub

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stages:
  data_ingestion:
    cmd: python -m cnnClassifier.pipeline.stage_01_data_ingestion
    deps:
      - config/config.yaml
      - src/cnnClassifier/pipeline/stage_01_data_ingestion.py
      - src/cnnClassifier/components/data_ingestion.py
    params:
      - AUGMENTATION
      - IMAGE_SIZE
      - BATCH_SIZE
      - INCLUDE_TOP
      - EPOCHS
      - CLASSES
      - WEIGHTS
      - LEARNING_RATE
    outs:
      - artifacts/data_ingestion/train
      - artifacts/data_ingestion/test

  prepare_base_model:
    cmd: python -m cnnClassifier.pipeline.stage_02_prepare_base_model
    deps:
      - config/config.yaml
      - params.yaml
      - src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
      - src/cnnClassifier/components/prepare_base_model.py
    params:
      - IMAGE_SIZE
      - INCLUDE_TOP
      - WEIGHTS
      - CLASSES
      - LEARNING_RATE
    outs:
      - artifacts/prepare_base_model/base_model.keras
      - artifacts/prepare_base_model/base_model_updated.keras

  training:
    cmd: python -m cnnClassifier.pipeline.stage_03_model_trainer
    deps:
      - config/config.yaml
      - params.yaml
      - artifacts/prepare_base_model/base_model_updated.keras
      - artifacts/data_ingestion/train
      - src/cnnClassifier/pipeline/stage_03_model_trainer.py
      - src/cnnClassifier/components/model_trainer.py
    params:
      - IMAGE_SIZE
      - BATCH_SIZE
      - EPOCHS
      - LEARNING_RATE
      - AUGMENTATION
    outs:
      - artifacts/training/model.keras
      - artifacts/training/best_model_checkpoint.keras
      - artifacts/training/logs:
          cache: false

  evaluation:
    cmd: python -m cnnClassifier.pipeline.stage_04_model_evaluation
    deps:
      - config/config.yaml
      - params.yaml
      - artifacts/training/model.keras
      - artifacts/data_ingestion/test
      - src/cnnClassifier/pipeline/stage_04_model_evaluation.py
      - src/cnnClassifier/components/model_evaluation_mlflow.py
    params:
      - IMAGE_SIZE
      - BATCH_SIZE
    metrics:
      - scores.json:
          cache: false