Advanced Customization
======================

Custom Scoring Models
---------------------

.. code-block:: python

    class CustomScorer(BaseScorer):
        def calculate_score(self, features):
            # Custom scoring logic
            return weighted_score

Feature Engineering
-------------------

.. code-block:: python

    class CustomFeatureGenerator:
        def create_features(self, raw_data):
            # Custom feature engineering
            return engineered_features

Model Pipeline
--------------

.. code-block:: python

    from credit_risk.pipeline import ModelPipeline
    
    pipeline = ModelPipeline([
        ('preprocessor', CustomPreprocessor()),
        ('feature_generator', CustomFeatureGenerator()),
        ('model', CustomRiskModel())
    ])