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Module_MachineLearning
cyclone_dll edited this page Jun 12, 2026
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Location: Home / Machine learning
IClassifier<T> / IRegressor<T>, pipelines, trees/forests, Softmax/logistic/GNB, KNN, boosting, scalers, DataSplit, CrossValidation, GridSearch, metrics, JSON persistence. Clustering, PCA, SVM, and distances in submodules.
Example: Examples/MachineLearning_example/.
See NuGet XML documentation and source under shared projects/MachineLearning/.
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- 🔖 ArrayExtension class
- 🔖 BaseConverter class
- 🔖 BitMathExtension class
- 🔖 Combinatorics class
- 🔖 ConstantsFp32 class
- 🔖 NumberMapper class
- 🔖 PinnableArray<T> class
- 🔖 SimpleRNG_Fp32 and SimpleRNG_Fp64 classes
- 🔖 TrigonometryHelper class
- 🔖 VMath class
- 🔖 Pinned buffers (Buffers)
- 🔖 IPinnedBuffer<T> interface
- 🔖 POHBuffer<T> class
- 🔖 NativeBuffer<T> class
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- 🔖 0.9 classifier walkthrough
- 🔖 KNN<T> class
- 🔖 MultipleLinearRegression<T> class
- 🔖 SimpleLinearRegression<T> class
- 🔖 SupportVectorMachine<TSelf> class
- 🔖 DBSCAN<T> class
- 🔖 ExpectationMaximization<T> class
- 🔖 GMM<T> class
- 🔖 HierarchicalClustering<T> class
- 🔖 KMeansClusterer<T> class
- 🔖 VectorQuantization<T> class
- 🔖 FactorAnalysis<T> class
- 🔖 PCA<TSelf> class
- 🔖 TSNE<T> class
- 🔖 Distance metric classes
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📒 Examples
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📒 GPU 策略说明
- 🔖 为何放弃主包 GPU
- 🔖 当前性能路径
- 🔖 若仍需要更强算力
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📒 计算上下文模块
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📒 核心模块
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📒 深度学习模块
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📒 线性代数模块
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📒 机器学习模块
- 🔖 0.9 分类器完整示例
- 🔖 KNN<T> 类
- 🔖 MultipleLinearRegression<T> 类
- 🔖 SimpleLinearRegression<T> 类
- 🔖 SupportVectorMachine<TSelf> 类
- 🔖 DBSCAN<T> 类
- 🔖 ExpectationMaximization<T> 类
- 🔖 GMM<T> 类
- 🔖 HierarchicalClustering<T> 类
- 🔖 KMeansClusterer<T> 类
- 🔖 VectorQuantization<T> 类
- 🔖 FactorAnalysis<T> 类
- 🔖 PCA<TSelf> 类
- 🔖 TSNE<T> 类
- 🔖 距离度量类
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📒 信号处理模块
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📒 数值模块
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📒 统计模块
- 🔖 基础统计函数
- 🔖 高级统计函数
- 🔖 稳健统计 / RunningMoments
- 🔖 其它统计函数
- 🔖 分布相关函数
- 🔖 时间序列分析
- 🔖 IComparable 扩展
- 🔖 ExtremeValueFinder
- 🔖 INumber 扩展
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📒 FFTW 扩展
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📒 示例