搜索资源列表
Regression
- 实现逻辑回归的c++源码，功能完善，封装完好，能直接运行-Code of logistic regression
LogisticRegression
- vs2012平台，visual C++；深度学习逻辑回归算法，可运行，可操作-vs2012，visual c++，LogisticRegression
IRLS_python
- 逻辑回归python实现代码，并画图比较算法准确度-Logistic regression python implementation code, and drawing comparison algorithm accuracy
logistic
- 使用matlab自带数据进行逻辑回归，并附有详细注释。-Using logistic regression matlab own data, along with detailed notes.
logregress
- 逻辑回归的python代码，里面包含一定的数据集和测试集。-The logical regression python code contains a set of data sets and test sets.
project
- 数据挖掘，推荐系统，堆叠降噪自编码器，逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
SparseLR
- 使用Hadoop平台的Spark组件，实现机器学习分类算法LR（逻辑回归），使用的编程语言为Scala。(Using the Spark component of the Hadoop platform, the machine learning classification algorithm LR (logical regression) is used, and the programming language is Scala.
Spark Ml 源码分析-LogistRegression
- spark ml源码分析,逻辑回归源码分析，仅供参考，错误地方多多指教(spark ml source code analysis , this source code is analysis logiest regression)
handwriting recognition GUI
- 本文主要实现手写数字识别，利用多类逻辑回归与神经网络两种方法实现,并编写有GUI界面。(This paper mainly implements handwritten numeral recognition, using multiple logic regression and neural network to achieve two methods, and the preparation of a GUI interface.
Iris_LR
- 根据已知的相关参数，鸢尾花逻辑回归分类效果(Based on the known relative parameters, the effect of logical regression on iris classification was studied)
R
- 本文分别利用逻辑回归、决策树和随机森林三种模型针对员工是否会过早离职问题进行探究，结果显示三种方法预测结果的精确度依次增加，分别为78.59%、96.8%和 99%，并且三种模型均显示员工演满意度是最重要的特征变量。(Predicting employee turnover)
data
- 逻辑回归数据集，可以用来测试逻辑回归算法精度，用来调参(logistic regression data set)
logistic_3
- 机器学习算法，逻辑回归，将数据集划分为两类，优化算法采用随机梯度上升(logistics,classifiy the training set to two class)
LR
- 实现逻辑回归值得计算，并且通过设定的损失函数来判断最优解(just for LR or study the loss function)
AllData
- 主要用matlab进行逻辑回归数据化处理等等一些啊什么的(The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter is NOT linearly separable f
LR
- 机器学习中的LR模型的python3.x的版本，有需要的可以下载(LR model python3.x version)
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 d
ipynb
- 机器学习方法之最近邻、朴素贝叶斯、逻辑回归方法的实现与对比(compared with knn\NB\logistics)
DeepLearning
- 包括几个数值计算的python代码，其中包括数值推理、最小二乘和逻辑回归的代码(The Python code that includes several numerical calculations)
分形与迭代
- 分形与迭代，是用逻辑回归算法实现数值的分形，可修改迭代次数，得到不同的迭代分形(Fractal and iteration are used to realize the fractal of numerical value by the logic regression algorithm, and the number of iterations can be modified to get different iterative