搜索资源列表
FullBNT-1.0.4
- Bayesian 神经网络，可用于模型构建中变量的筛选-Bayesian neural network，could be applied for variable selection in model construction
bipls
- bipls变量选择方法的matlab代码，包括所有有关代码- bipls variable selection method matlab code, including all relevant codes
mvrvm_c
- 相关向量机RVM用于预测和分类,含有归一化，训练和测试，可以多变量输出，解决海瑟矩阵问题-RVM relevance vector machine for prediction and classification, containing normalization, training and testing, can be more variable output matrix problem solving Heather
decisiontree
- matlab决策树程序，输入数据和变量名，输出分类结果-matlab tree program, input data and variable names, the output of the classification results
lasso-enet
- 针对数据挖掘中的lasso算法，可用于选择变量-Data driven algorithm for lasso based regression modelling which can be used for variable selection
77257795PCA_yuandaima
- PCA源程序，主元分析源程序，可以用于变量的特征提取(PCA source code, principal component analysis source, can be used for variable feature extraction)
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
House_price
- 主要是对二手房房价的因变量房价和其相关的因变量之间的关系进行简单的描述统计分析(Mainly for the second-hand house price dependent variable housing prices and its related variables of the relationship between the simple descr iption of statistical analysis)
python-logistic
- 对因变量为0-1属性变量，利用Logistic算法，对其进行回归预测(The dependent variable is the 0-1 attribute variable, and the Logistic algorithm is used to predict it)
广义线性模型
- 这种模型是把自变量的线性预测函数当作因变量的估计值(The model takes the linear prediction function of the independent variable as the estimate of dependent variable)
discretization
- 多种连续变量离散化方法，并且对每种算法的原理进行介绍(A variety of discrete method of continuous variable and the principle of each algorithm is introduced.)