搜索资源列表
lars
- 解L1正则化回归问题（lasso）的Lars算法 -a classic algorithm for lasso called LARs——Least Angle Regression
LinearRegression
- 利用numpy库实现线性回归 并且带有正则化之后的线性回归处理功能 还有用最小角回归(LARS)算法实现了lasso回归-Numpy library implements the use of linear regression and linear regression with regularization after processing algorithms as well as the minimum angle of regression (LARS) to achieve a la
YALL1_Group_20120223
- yalli 项目组的lasso回归 一范式约束 目前最快-yalli group code
LASSO与一般线性回归模型构建
- 一种综合评价方法，跟主成分分析类似，但效果更好(A comprehensive evaluation method, similar to principal component analysis, but better)
回归算法
- matlab实现各种经典回归算法，如最小二乘，ridge，lasso，elastic net等等，以及各种回归算法应用实例。(Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.)
lr
- 线性回归，正则化项，lasso正则化，L2-正则化等(linear regression, regularization, Lasso reg., L2-reg.)
lasso
- 线性回归里的最小二乘估计，以及应用坐标下降的岭回归和Lasso的回归的python实现(Ridge regression and Lasso regression)
machine_learning_python-master
- 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process oursel
lasso
- 利用Python语言实现了lasso回归(Lasso regression is realized by Python language)
AdaBoost
- adaboost 集成多个回归算法（线性回归、岭回归、LASSO等）(Adaboost integrates multiple regression algorithms)
变量选择
- lasso alsso scad 实例 R文件，基于数据EnergyData.csv，分别采用逐步回归法，Lasso，自适应Lasso等方法对影响响应变量的因变量进行选择(lasso alsso scad Adaptive Lasso and other methods select the dependent variables that affect the response variables)