Add comprehensive benchmarks for AiDotNet library#473

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ooples wants to merge 14 commits intomasterfrom

claude/add-benchmarks-011CUzfqaqetfMBMBXnDCTEf

Commits on Nov 10, 2025

feat: Add benchmark infrastructure with competitor dependencies and BenchmarkSwitcher
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feat: Add comprehensive benchmarks for Matrix, Vector, ActivationFunctions, and Statistics
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feat: Add benchmarks for LossFunctions, MatrixDecomposition, and Optimizers
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feat: Add benchmarks for Regression, Kernels, Normalizers, and TimeSeries
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feat: Add benchmarks for NeuralNetworks, Tensors, GaussianProcesses, CrossValidation, and Internal Comparisons
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feat: Add benchmarks for FeatureSelectors, DataPreprocessing, and comprehensive coverage areas (Interpolation, Wavelets, WindowFunctions, RBF)
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docs: Add comprehensive benchmark suite summary documentation
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feat: Add comprehensive benchmarks for all 38 activation functions and all 35 optimizers
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feat: Add comprehensive benchmarks for Regularization, AutoML, MetaLearning, LoRA, RAG, and GeneticAlgorithms
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feat: Add TensorFlow.NET comparison benchmarks (net8.0 only)
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docs: Update BENCHMARK_SUMMARY.md with 100% coverage - 32 files, 483 benchmarks, all features covered
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feat: Add benchmarks for FitDetectors, FitnessCalculators, Interpretability, and OutlierRemoval
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feat: Add benchmarks for Caching and Serialization infrastructure
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feat: Add TransferLearning benchmarks and update comprehensive summary
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