搜索资源列表
softmaxregression
- softmaxregression，即多分类的逻辑斯特回归算法，python编写-softmaxregression, namely multi-classification logistic regression algorithm, python write
logisticregression
- 二分类logistic回归算法。通用性比较强-Binary logistic regression algorithm. Universal relatively strong
SVM_MATLAB
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB
Multiple-linear-regression
- 用C++实现多元线性回归算法，方便在变成过程中使用-Multiple linear regression
2006
- 高斯过程回归算法工具箱，很好用的，我用过-Gaussian process regression algorithm toolbox, well used, I used
gaSVMcgForRegress
- 一种基于基因遗传算法和支持向量机的回归算法-Regression algorithm based on genetic algorithm and support vector machine
Artificial-network
- 包括神经网络的主元处理，回归算法，建模数据集的源码，bp，rbf设计实例-Artificial neural network n
code
- 这是关于softmax回归算法的源代码，是c++写的，比较完整，直接可以运行，是个不错的程序-This is the softmax regression algorithm source code, is c++ written, more complete, can be run directly, it is a good program
LS-SVR
- 最小二乘支持向量回归算法： 训练数据用来得到回归模型，测试数据用来判断是否为显著武昌-Least squares support vector regression algorithm: Training data to train the model, the test data for testing, to judge whether the data for gross error data
LinearLWR
- 代码为Matlab环境下开发的局部加权线性回归算法，以绘图方式表达结果。-Matlab code for locally weighted linear regression algorithm under development environment to graphically express the results.
multi_regression
- 用c#实现的多元线性回归算法 有界面 可运行-multi regression using c#
SER
- 根据序贯回归算法原理，实现了序贯回归算法的仿真，并画出了权轨迹随迭代次数的变化图形-Accoding to the principles of SER,the simulation of SER is realized and graphics of trace of weight versus iteration times is drawn
logistic
- 用于知识挖掘的逻辑回归算法,代码很全，对于初学者很好-It is used to classfication
randomforest-matlab
- 基于随机森林思想的分类和回归算法，调试通过。-Random forests classification and regression algorithm based on the thought of.
logRegres
- 机器学习算法，Logistic回归算法，最优化理论和梯度下降-Machine learning algorithms, Logistic regression algorithm, optimization theory and the gradient descent
linearEst
- linearEst线性回归算法，包括回归显著性检验，F 检 验-Linear regression algorithm
owlqn
- 用 go 语言实现 owlqn 算法 owlqn 算是是一种优化的 逻辑回归 算法-Using go language to realize owlqn algorithm Owlqn is an optimized logistic regression algorithm
LinearRegression
- 该算法是实现多元线性回归算法。该算法包含了F检验，t检验，模型检验。-The algorithm is to achieve multiple linear regression algorithm. The algorithm includes the F-test, t test, model checking.
DataScreening-
- 该程序是实现线性回归算法异常数据的筛选。-The program is a linear regression algorithm abnormal screening data.
LogisticRegression
- 该算法是实现二值Logistic回归算法。包含方差分析检验，回归系数，相关系数，剩余标准差，标准偏回归系数，点预测值，区间预测值。-The algorithm is to achieve binary Logistic regression algorithm. Included analysis of variance, regression coefficients, correlation coefficient, residual standard deviation, standard