机器学习各类工具weka、scikit-learn等各项指标的对比

以下表格摘自：http://www.shogun-toolbox.org/另推荐机器学习软件汇总网站 http://mloss.org/software/featureshogunwekakernlabdlibniemeorangejava-mlpyMLmlpypybraintorch3scikit-learn

Waleking

19601人浏览 · 2012-05-20 02:29:10

Waleking · 2012-05-20 02:29:10 发布

以下表格摘自：http://www.shogun-toolbox.org/

另推荐机器学习软件汇总网站 http://mloss.org/software/

feature	shogun	weka	kernlab	dlib	nieme	orange	java-ml	pyML	mlpy	pybrain	torch3	scikit-learn
General Features	Graphical User Interface
	One Class Classification
	Classification
	Multiclass classification
	Regression
	Structured Output Learning
	Pre-Processing
	Built-in Model Selection Strategies
	Visualization
	Test Framework
	Large Scale Learning
	Semi-supervised Learning
	Multitask Learning
	Domain Adaptation
	Serialization
	Parallelized Code
	Performance Measures (auROC etc)
	Image Processing
Supported Operating Systems	Linux
	Windows
	Mac OSX
	Other Unix
Language Bindings	Python
	R
	Matlab
	Octave
	C/C++
	Command Line
	Java
	C#
	Lua
	Ruby
SVM Solvers	SVMLight
	LibSVM
	SVM Ocas
	LibLinear
	BMRM
	LaRank
	SVMPegasos
	SVM SGD
	other
Regression	Kernel Ridge Regression
	Support Vector Regression
	Gaussian Processes
	Relevance Vector Machine
Multiple Kernel Learning	MKL
	q-norm MKL
Classifiers	Naive Bayes
	Bayesian Networks
	Multi Layer Perceptron
	RBF Networks
	Logistic Regression
	LASSO
	Decision Trees
	k-NN
Linear Classifiers	Linear Programming Machine
	LDA
Distributions	Markov Chains
	Hidden Markov Models
Kernels	Linear
	Gaussian
	Polynomial
	String Kernels
	Sigmoid Kernel
	Kernel Normalizer
Feature Selection	Forward
	Wrapper methods
	Recursive Feature Selection
Missing Features	Mean value imputation
	EM-based/model based imputation
Clustering	Hierarchical Clustering
	k-means
Optimization	BFGS
	conjugate gradient
	gradient descent
	bindings to CPLEX
	bindings to Mosek
	bindings to other solver
Supported File Formats	Binary
	Arff
	HDF5
	CSV
	libSVM/ SVMLight format
	Excel
Supported Data Types	Sparse Data Representation
	Dense Matrices
	Strings
	Support for native (e.g. C) types (char, signed and unsigned int8, int16, int32, int64, float, double, long double)

CSDN学习社区

CSDN联合极客时间，共同打造面向开发者的精品内容学习社区，助力成长！

更多推荐

嵌入式作业（七）：基于Ardunio的STM32串口通信

嵌入式作业（七）0作业要求1Ardunio 完成STM32的串口通信（1）安装Ardunio IDE（2）stm32串口通信2关于 stduino IDE0作业要求安装 Ardunio IDE 和相关软件支持库，在Ardunio 完成STM32板子的串口通信程序：（1）持续向串口输出“Hello world！”；（2）当接收到“stop!”时，停止输出。网上有一个国人版的MCU集成开发平台， st

CSDN学习社区

JDBC详解

JDBC文章目录JDBC什么是JDBC?JDBC驱动程序:Java使用JDBC访问数据库的步骤:设置classpath:Oracle连接字符串的书写格式:简单的例子:常用数据库的驱动程序及JDBC URL:Oracle数据库:SQL Server数据库MySQL数据库Access数据库PreparedStatement接口:JNDI-数据源（Data Source）与连接池（Connection

CSDN学习社区

“模式识别与机器学习”学习笔记no2.再谈感知机

接**上篇：上篇主要进行了PLA，Pocket算法的理论过程分析和在给定数据集上利用pocket算法对数据集进行分类学习，得到错分数量最少的分类面。上篇中pocket算法的过程已经进行了编程和测试，框架已经建立了起来，这一篇主要上篇中没有提到或涉及不深的几个问题。1.数据集的构造。上篇是直接使用了题目给的向量，这次来根据正态分布来产生数据集。np.random.normal函数可以根据均值和方差生