الفصل 1: أتمتة خطوط أنابيب تعلم الآلة

GitHub Actions لتعلم الآلة

# .github/workflows/ml-pipeline.yml
name: ML Training Pipeline

on:
  push:
    branches: [main]
    paths:
      - 'src/**'
      - 'data/**'
  schedule:
    - cron: '0 0 * * 0'  # Weekly

jobs:
  train:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'
          
      - name: Install dependencies
        run: pip install -r requirements.txt
        
      - name: Pull data with DVC
        run: dvc pull
        env:
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_KEY }}
          
      - name: Train model
        run: python src/train.py
        
      - name: Evaluate model
        run: python src/evaluate.py
        
      - name: Model validation gate
        run: |
          python -c "
          import json
          with open('metrics.json') as f:
              metrics = json.load(f)
          assert metrics['auc_roc'] > 0.85, 'Model did not meet AUC threshold'
          "
          
      - name: Push model to registry
        if: success()
        run: python src/register_model.py

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التالي: الفصل 2: اختبار أنظمة تعلم الآلة