[US-IF-005]: Implement cross-domain transfer learning

[ooples]

Summary

• Implemented TransferCrossDomain method for TransferNeuralNetwork with feature mapping and knowledge distillation
• Implemented TransferCrossDomain method for TransferRandomForest with domain adaptation and model wrapping
• Fixed pre-existing syntax error in BayesianOptimizerOptions.cs (missing Kernel property declaration)

Implementation Details

TransferNeuralNetwork

• Validates that FeatureMapper is set and trained before proceeding
• Maps target data to source feature space using the trained mapper
• Applies knowledge distillation by combining source model predictions with true labels
• Trains a new model on the target domain with combined labels

TransferRandomForest

• Validates that FeatureMapper is set and trained before proceeding
• Maps target features to source feature space
• Optionally applies domain adaptation if DomainAdapter is available and trained
• Uses knowledge distillation with pseudo-labels from source model
• Wraps the resulting model in MappedRandomForestModel for proper feature handling

Additional Fix

• Fixed corrupted property declaration in BayesianOptimizerOptions.cs that was causing build errors

🤖 Generated with Claude Code

[Copilot]

Pull Request Overview

This PR implements cross-domain transfer learning capabilities for neural networks and random forests by replacing placeholder NotImplementedException code with functional implementations using feature mapping and knowledge distillation techniques. A pre-existing syntax error in BayesianOptimizerOptions.cs has also been fixed.

Key changes:

• Implemented TransferCrossDomain methods for both TransferNeuralNetwork and TransferRandomForest classes with feature mapping validation and knowledge distillation
• Enhanced MappedRandomForestModel with serialization, feature importance mapping, and model persistence capabilities
• Fixed corrupted property declaration in BayesianOptimizerOptions.cs

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 5 comments.

File	Description
src/TransferLearning/Algorithms/TransferRandomForest.cs	Implements cross-domain transfer with feature mapping, domain adaptation, and knowledge distillation; adds full serialization and model persistence to MappedRandomForestModel wrapper
src/TransferLearning/Algorithms/TransferNeuralNetwork.cs	Implements cross-domain transfer using feature mapping and label combination for knowledge distillation
src/Models/Options/BayesianOptimizerOptions.cs	Repairs malformed property declaration by moving misplaced code fragment to correct location

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