Franklin Moormann
Franklin Moormann
This commit implements comprehensive test coverage for RAG vector search functionality, achieving 80%+ coverage for similarity search and ranking operations as requested in issue #373. ## Implementation Summary ### Core...
This commit addresses issue #374 by implementing comprehensive unit tests for the model-based fit detector classes that previously had zero test coverage. Test files created: - GaussianProcessFitDetectorTests.cs: Tests for Gaussian...
…lculators This commit implements comprehensive unit tests for four specialized loss function fitness calculators as requested in issue #376: - DiceLossFitnessCalculator: Tests for medical imaging and segmentation scenarios - JaccardLossFitnessCalculator:...
This commit adds comprehensive unit tests for 10 distribution-based loss function fitness calculators, achieving 80%+ test coverage as required by issue #377. Test files added: - KullbackLeiblerDivergenceFitnessCalculatorTests.cs - OrdinalRegressionLossFitnessCalculatorTests.cs -...
Implemented comprehensive unit tests for six utility helper classes: - SerializationHelper: 32 tests covering serialization/deserialization of matrices, vectors, tensors, and decision tree nodes across multiple numeric types - DeserializationHelper: 21...
This commit implements comprehensive physics-informed machine learning capabilities for solving PDEs and learning operators between function spaces. Physics-Informed Neural Networks (PINNs): - Core PINN implementation for solving PDEs - Deep...
…n for Issue #402 This commit implements Phase 3 of advanced time series capabilities as requested in issue #402: **Foundation Models (Critical Priority):** - Temporal Fusion Transformer (TFT): Multi-horizon interpretable...
…399) This commit implements Phase 3 of the AiDotNet roadmap, adding comprehensive 3D AI capabilities including point cloud processing and neural radiance fields. ## Point Cloud Processing ### Models Implemented...
This commit implements Phase 3 of the AiDotNet project by adding comprehensive Neural Architecture Search algorithms and infrastructure to the AutoML framework. ## Differentiable NAS Algorithms (Critical Priority): - GDAS...
This commit implements a comprehensive Federated Learning framework for AiDotNet, addressing all requirements from Issue #398. Core Algorithms Implemented: - FedAvg (Federated Averaging): Weighted averaging of client updates - FedProx...