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Logistic
- logistic回归算法代码，希望对大家有所帮助
blogreg
- 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on th
unconditional-logistic-regression
- logistic回归分析相关资料分析总结1-logistic regression analysis, Data Analysis Summary 1
logistic
- matlab实现logistic回归 利用牛顿迭代的方法得到最后的回归参数-matlab realize logistic regression using Newton iteration method to get the final regression parameters
回归
- 实现线性回归和逻辑回归，并随机数据进行分类(Linear regression and logistic regression were implemented, and random data were classified)
(1)线性回归、logistic回归和一般回归
- logic descr iption
logistic regression
- 逻辑回归算法来进行分类，并计算查全率和召回率(Logical regression algorithm is used to classify .and to calculate recall and recall rate)
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)
logistic线性回归
- 应用MATLAB程序进行线性回归计算，此为相关代码，具有很强的应用价值。(Application of MATLAB program for linear regression calculation, this is the relevant code, has a strong application value.)
多分类逻辑回归
- 该逻辑蒂斯回归模型matlab程序用于数据多分类，适用于有监督，学习型模型。(the matlab code of logistic regression used for data multi-classification. it is a kind of unsurpervisor study.)
logistic代码
- 在matlab平台上编写的回归分析代码，提供思路指导。(Regression analysis code written in matlab platform)
logistic
- 一个在机器需欸领域非常经典的算法-逻辑回归，改实例实现了逻辑回归的功能，简单易懂，有条理，带有数据集(A very classic algorithm in the field of machine requirements - Logistic Regression, change instances to achieve the function of logistic regression, easy to understand, organized, with a data set)
logisticRegressionshiyan线性回归
- 用于数据挖掘，疾病自动诊断，经济预测等领域。例如，探讨引发疾病的危险因素，建立Logistics回归模型，并根据此预测疾病发生的概率等(Used for data mining, disease automatic diagnosis, economic forecasting and other fields. For example, to explore the risk factors for disease, establish Logistics regression model,
Logistic Regression
- 通过训练样本使用对数几率回归模型建模，并对测试样本类别进行预测(The training samples are modeled by log likelihood regression model, and then predicts the categories of test samples.)
logistic
- python实现的logistic回归，ex2为不带正则化的版本，ex2_reg为正则化版本，从数据集中的两个特征中，采用相乘与取n次方的方法，又人工生成了一些特征，因此加上了正则化。(logistic regression in python)
Logistic
- 基于Logistic回归采用梯度提升算法及算法改进(Logistic regression and algorithm improvement)
4逻辑回归分类_配套代码
- 吴恩达的course公开课上面logistic回归做分类的课程代码(Wu Enda's course open class, logistic regression to do the classification of curriculum code)
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class
logistic回归
- logistic回归matlab程序设计，里面包含例子，只需修改数据即可。(Logistic regression matlab programming, which contains examples, just need to modify the data.)
逻辑回归
- 逻辑回归一般指logistic回归。logistic回归又称logistic回归分析，是一种广义的线性回归分析模型，常用于数据挖掘，疾病自动诊断，经济预测等领域。(Logistic regression generally refers to logistic regression. Logistic regression, also known as logistic regression analysis, is a generalized linear regression analysi