schema: '2.0'
stages:
  data_ingestion:
    cmd: python src/cnnClassifier/pipeline/stage_01_data_ingestion.py
    deps:
    - path: config/config.yaml
      hash: md5
      md5: 18c5d166940398f449d80f3bf7ceba78
      size: 601
    - path: src/cnnClassifier/pipeline/stage_01_data_ingestion.py
      hash: md5
      md5: 9ab8c5d8d045a810fdc294c23dba44a2
      size: 906
    outs:
    - path: artifacts/data_ingestion/unzip/kidney-ct-scan-image
      hash: md5
      md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
      size: 58936381
      nfiles: 465
  prepare_base_model:
    cmd: python src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    deps:
    - path: config/config.yaml
      hash: md5
      md5: 18c5d166940398f449d80f3bf7ceba78
      size: 601
    - path: src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
      hash: md5
      md5: e8e39a301f4b90d1b4f2c86acc66ef32
      size: 999
    params:
      params.yaml:
        CLASSES: 2
        IMAGE_SIZE:
        - 224
        - 224
        - 3
        INCLUDE_TOP: false
        LEARNING_RATE: 0.009
        WEIGHTS: imagenet
    outs:
    - path: artifacts/prepare_base_model
      hash: md5
      md5: 186cffa6925a8727cbd781402a5b2d91.dir
      size: 118054560
      nfiles: 2
  training:
    cmd: python src/cnnClassifier/pipeline/stage_03_train_model.py
    deps:
    - path: artifacts/data_ingestion/unzip/kidney-ct-scan-image
      hash: md5
      md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
      size: 58936381
      nfiles: 465
    - path: artifacts/prepare_base_model
      hash: md5
      md5: 186cffa6925a8727cbd781402a5b2d91.dir
      size: 118054560
      nfiles: 2
    - path: config/config.yaml
      hash: md5
      md5: 18c5d166940398f449d80f3bf7ceba78
      size: 601
    - path: src/cnnClassifier/pipeline/stage_03_train_model.py
      hash: md5
      md5: 3ef39a6e5a0d665c7c48877e098f3c82
      size: 919
    params:
      params.yaml:
        AUGMENTATION: true
        BATCH_SIZE: 32
        EPOCHS: 2
        IMAGE_SIZE:
        - 224
        - 224
        - 3
    outs:
    - path: artifacts/training/model.h5
      hash: md5
      md5: b860a0e1daa2296bf1ab06265a233dae
      size: 59337520
  evaluation:
    cmd: python src/cnnClassifier/pipeline/stage_04_evaluation.py
    deps:
    - path: artifacts/data_ingestion/unzip/kidney-ct-scan-image
      hash: md5
      md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
      size: 58936381
      nfiles: 465
    - path: artifacts/training/model.h5
      hash: md5
      md5: b860a0e1daa2296bf1ab06265a233dae
      size: 59337520
    - path: config/config.yaml
      hash: md5
      md5: 18c5d166940398f449d80f3bf7ceba78
      size: 601
    - path: src/cnnClassifier/pipeline/stage_04_evaluation.py
      hash: md5
      md5: ef1e7f821e740d1e4a9d51a4bf724e68
      size: 888
    params:
      params.yaml:
        BATCH_SIZE: 32
        IMAGE_SIZE:
        - 224
        - 224
        - 3
    outs:
    - path: scores.json
      hash: md5
      md5: 8930e55b40b3d3c2866622648a461a1c
      size: 72