搜索资源列表
IRLS
- 实现了机器学习中的logistic regression 算法，可以对三类高斯分布的采样进行分类-Achieved in the logistic regression machine learning algorithm, can be three types of Gaussian distribution of samples to classify
logisitic_exercise
- 一种用于数据分类的算法，与svm的作用类似-In statistics, logistic regression or logit regression is a type of probabilistic classification model[1] used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor v
classifier
- 简单的分类小程序。包括高斯混合模型、svm（调用函数）、logistic regression、和人工神经网络-Simple classification applet. Including the Gaussian mixture model, svm (calling function), logistic regression, and artificial neural networks
Ch05
- 逻辑回归，实例：matlab使用逻辑回归进行分类。-Logistic regression
test
- python实现用逻辑回归识别和分类人工手写数字-Classifying MNIST digits using Logistic Regression
machineLearning-
- 利用机器学习中的K邻近、感知机和logistic回归分类男女-Using KNN,perception and logistic to divide male or female
mlclass-ex3
- 多分类学习及神经网络，机器学习相关，基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1 ex3 nn.m- Octave scr ipt that will help step you through part 2 ex3data1.mat- Training set of hand-written digits ex3weights.mat- Initial weights for the
1
- 主要是python环境下用来实现lr逻辑回归模型特征分类的源码-The main source is used to achieve lr logistic regression models feature classification under python environment
logRegres
- 《机器学习实战》中logistic回归 其中分类器训练采用的最优化算法为梯度上升法以及改进的随机梯度上升法。-logistic regression
softmax
- Softmax回归模型，该模型是logistic回归模型在多分类问题上的推广-softmax classifier
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
logistic
- 用于模式识别中分类器的实现，罗杰斯特回归的实现 ，有数据实例，能够观察到分类结果和收敛曲线(logistics regression)
LogisticRegression
- 逻辑蒂斯回归模型，用于概率预测，或者分类。内附matlab代码，以及运行数据，可直接运行。(this is an matlab code of logistic regression which could use for data classification and properbility predict. u can direcctly use this code and th data inside.)
IV值计算
- IV值的全称是information value，中文的就是信息量或信息值，其主要作用就是当我们在用决策树或逻辑回归构建分类模型时对变量进行筛选(The full name of IV value is information value. Chinese is information or information value. Its main function is to filter variables when we use decision tree or logistic regre
L4_1
- a）产生两个都具有200个二维向量的数据集和（注意：在生成数据集之前最好使用命令randn(‘seed’,0)初始化高斯随机生成器为0（或任意给定数值），这对结果的可重复性很重要）。向量的前半部分来自均值向量的正态分布，并且协方差矩阵。向量的后半部分来自均值向量的正态分布，并且协方差矩阵。其中是一个2*2的单位矩阵。 （b）在上述数据集上和分别属于+1类和-1类，请在上述数据集的两类中各随机抽取150个样本作为训练集，运用Logistic regression算法得到的分类面，然后对余下的各5