.class_implementation_clause_classifier.txt

[Reference: See .index.txt for complete file listing]

Clause Classifier Implementation Instructions
=========================================

Class: ClauseClassifier
----------------------

Purpose:
Classify contract clauses into predefined categories.

Implementation Details:

1. Classification Architecture
---------------------------
- Multi-label classification
- Hierarchical classification
- Confidence scoring

2. Training Process
-----------------
- Loss functions
- Label smoothing
- Class weights
- Early stopping

3. Prediction Methods
-------------------
- Threshold optimization
- Ensemble predictions
- Confidence calibration

Code Structure:
```python
class ClauseClassifier:
    def __init__(self, num_labels, model_name='bert-base-uncased'):
        self.num_labels = num_labels
        self.model = AutoModelForSequenceClassification.from_pretrained(
            model_name, 
            num_labels=num_labels
        )
        
    def train(self, train_data, val_data):
        """Train classifier"""
        pass
        
    def predict_clause_type(self, clause):
        """Predict clause category"""
        pass
        
    def evaluate(self, test_data):
        """Evaluate classifier performance"""
        pass
        
    def save_classifier(self, path):
        """Save trained classifier"""
        pass
```

Key Considerations:
- Handle class imbalance
- Interpretability of predictions
- Model calibration
- Performance metrics