搜索资源列表
owlqn
- 用 go 语言实现 owlqn 算法 owlqn 算是是一种优化的 逻辑回归 算法-Using go language to realize owlqn algorithm Owlqn is an optimized logistic regression algorithm
LogisticCA
- 逻辑回归CA模型，课对演化精度进行评估-Logistics CA model
LogisticRegression
- 用python实现逻辑回归，实现了梯度下降，随机梯度下降法收敛。-Realized the logistic regression by python, using gradient decescent, stochastic gradient decescent to diverge to the final point.
Logist_Regression
- Logistic regression （逻辑回归）是当前业界比较常用的机器学习方法-Logistic regression (logistic regression) is more commonly used current industry machine learning methods
Logistic_Regression
- 正规化的逻辑回归，可实现图像的分类识别,如人脸识别，数字识别-Logistic Regression with regularisation, can be used for image classification
Logistic_Regression
- 逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
logistic-regression
- 逻辑回归模型的实现，可以进行训练，预测，分类-Achieve logistic regression model can be trained, forecasting, classification
ml-py
- 机器学习算法(kNN、逻辑回归、线性回归、朴素贝叶斯)python实现。-machine learning by python
LogisticRegression
- 利用MATLAB做出逻辑回归函数的分析与使用，并且计算出海森矩阵-logistics function with MATLAB
logregres
- python编写的逻辑回归算法，清晰易懂，并且附有源数据文件-written python logistic regression algorithm, clear and understandable, and with the source data file
Logistic-matlab-an-example
- 采用逻辑回归分析，金融商业机构对企业进行评估，有一个具体的例子，是对企业的破产风险进行评估，逻辑回归是基于matlab做的-Using logistic regression analysis, financial business organizations to uate the enterprise, there is a specific example, is the enterprise bankruptcy risk assessment, logic regression is
classification-Python
- python实现感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机-Python implementation of perceptron, Bias classification, decision tree classification, K nearest neighbor method, logic regression, support vector machine
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
Logistic-Regression
- 逻辑回归是目前流行的神经网络算法的实现基石，本程序通过简单的例子介绍了逻辑回归的思想以及算法拓展。-Logistic regression is a popular neural network algorithm to achieve a cornerstone of this program through a simple example and introduced the idea to expand the logistic regression algorithm.
Code_EnPro
- 基于全映射方法的半监督图像分类算法。基于局部一致性和外部非一致性假设，首先从未标注数据自动产生多种模型。设计方法利用可利用数据对模型进行采样，利用逻辑回归判决学习得到每个模型的映射函数。 基于全局的思想，这里利用联合映射函数值来代表图像。 -Ensemble Projection for Semi-supervised Image Classification
LR
- 用python实现逻辑回归代码,python作为更为简单的面向对象型语言非常适用于机器学习等领域。-Python implementation logic return code
plot_digits_pipe
- GridSearchCV用于设置PCA的维度，解决逻辑回归预测时，PCA维度降维问题。-The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to set the dimensionality of the PCA
logic
- 通过字段系数赋值，将逻辑回归应用到SQL中-Through field coefficient of assignment, the applications of logistic regression to SQL
Kaggle_Titanic-master
- 利用逻辑回归解决Kaggle泰坦尼克之灾 -Logistic regression to solve Kaggle Titanic disaster python code
mlclass-ex2
- 逻辑回归，机器学习相关内容，内有说明，基于matlab仿真-ex2.m- Octave scr ipt that will help step you through the exercise ex2 reg.m- Octave scr ipt for the later parts of the exercise ex2data1.txt- Training set for the rst half of the exercise ex2data2.txt- Training s