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API Docs / Microsoft.VisualBasic.Data.Bootstrapping.Fittings

Microsoft.VisualBasic.Data.Bootstrapping.Fittings 5.0.9753.4776.

Namespaces 7 Types 38 Members 196

01 Namespaces

Microsoft.VisualBasic.Data.Bootstrapping

TypeSummary Members
BayesianCurveFitting 3
DoubleLinear 3
Evaluation Data fitting result evaluation. 6
Extensions 5
FeatureProjection 1
FitResult 线性回归结果 12
GaussNewtonSolver least squares fitting for general curve functions 1
IFitted a unify interface model of linear fitting result 4
LeastSquares Linear interpolator 曲线拟合类，只适用于线性拟合： + y = a*x + b + y = a + a1*x + a2*x^2 + ... 5
LMA Levenberg–Marquardt algorithm In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used… 1
LOESS ======================================================================== LOESS回归实现 ======================================================================== 4
LOESSModel LOESS模型，存储训练数据和参数 4
LowessFittings 3
NonNegativeLeastSquares NNLS Non-Negative Least-Squares algorithm 4
NumericTablePrediction 将回归模型的预测结果写回到统一二维表 NumericTable 的标签矩阵之中， 从而可以方便地把预测值与原始的观测值放在同一张表里面进行对比。 3
NumericTableRegressions 回归/曲线拟合算法的统一二维表入口。 输入约定： 1. 20
StockPredict Bayesian Curve Fitting 2
WeightedFit 加权拟合的结果 9
WeightedLinearRegression An Algorithm for Weighted Linear Regression > https://www.codeproject.com/Articles/25335/An-Algorithm-for-Weighted-Linear-Regression 2

Microsoft.VisualBasic.Data.Bootstrapping.GaussNewtonSolver

TypeSummary Members
FitFunction A general curve function to fit 0

Microsoft.VisualBasic.Data.Bootstrapping.LASSO

TypeSummary Members
LassoFit This class is a container for arrays and values that are computed during computation of a lasso fit. 15
LassoFitGenerator This implemenation is based on: Friedman, J., Hastie, T. 10
MathUtil Utility Math functions that are used by other classes. 5

Microsoft.VisualBasic.Data.Bootstrapping.LevenbergMarquardt

TypeSummary Members
JamaHelper Created by duy on 31/1/15. 2
LmDatumError LmDatumError is an interface for evaluating error, Jacobian matrix and Hessian matrix of a single piece of observed data 5
LmModelError Created by duy on 20/1/15. 4
LmParamHandler Created by duy on 18/3/15. 1
LmScalarModel LmScalarModel is an interface for models (functions) whose ranges are single real-valued numbers 4
LmSolver levenberg-marquardt A lightweight implementation of Levenberg-Marquardt algorithm ### Augmented normal equation (H + uI) * h = -g where: + H is the Hessian matrix… 9
LmSumError Created by duy on 1/4/15. 4
LmSumSquaresError Created by duy on 27/1/15. 4

Microsoft.VisualBasic.Data.Bootstrapping.LMA

TypeSummary Members
FitInput 5

Microsoft.VisualBasic.Data.Bootstrapping.Logistic

TypeSummary Members
Instance classify training model 7
Logistic This method uses Gradient descent algorithm. 6

Microsoft.VisualBasic.Data.Bootstrapping.Multivariate

TypeSummary Members
Error 多元线性回归在单个样本点上的拟合误差记录。(The fit error of a multiple linear regression at a single sample point.) 5
LinearFittingAlgorithm 多元线性回归拟合算法模块，提供拟合入口、特征曲线升维以及回归系数置信区间的计算。 (Multiple linear regression fitting algorithms: fit entry points, feature curve scaling, and confidence interval computation.) 6
MLRFit Multiple linear regression.(多元线性回归) Problem of predicting appropriate values of given feature set as inputvector using supervised linear regression with multiple dimensional sa… 11
NormalEquation 1