API Reference

This section provides detailed documentation for all PySSL classes, functions, and modules.

📋 Quick Reference

Core Classes:

• ssl_framework.main.SelfTrainingClassifier - Main SSL classifier

• ssl_framework.strategies.ConfidenceThreshold - Confidence-based selection

• ssl_framework.strategies.TopKFixedCount - Top-K selection

• ssl_framework.strategies.AppendAndGrow - Simple integration

• ssl_framework.strategies.ConfidenceWeighting - Weighted integration

Quick Import:

from ssl_framework.main import SelfTrainingClassifier
from ssl_framework.strategies import (
    ConfidenceThreshold, TopKFixedCount,
    AppendAndGrow, FullReLabeling, ConfidenceWeighting
)

📖 Detailed Documentation

• ssl_framework.main
  • SelfTrainingClassifier
  • Examples
• ssl_framework.strategies
  • Selection Strategies
  • Integration Strategies
  • Strategy Combinations
  • Custom Strategy Implementation

🔗 External References

PySSL builds on top of these excellent libraries:

• scikit-learn - Base estimator interface

• numpy - Numerical operations

• pandas - DataFrame support

📝 Type Annotations

PySSL includes comprehensive type hints. For complete type information, see the source code or use your IDE’s type checking capabilities.

from typing import Union, Optional
import numpy as np
import pandas as pd

# Supported input types
ArrayLike = Union[np.ndarray, pd.DataFrame]
TargetLike = Union[np.ndarray, pd.Series]