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[Software EngineeringTestingDoc

Description: 自动进行JAVA单元测试和代码标准检查来帮助开发人员编写克号的代码的工具。可分析类,然后生成单元测试案例来包括最大的覆盖测试,发现未处理的异常并校验需求。-自动的基本错误预防,包括单元测试和自动代码标准检查-生成并执行单元测试案例-提供了进行黑盒测试、模型测试和系统测试的快速简单的途径-识别并预防未处理的运行时异常,函数错误,内存泄露,性能问题和安全弱点-监控测试的覆盖范围-自动回归测试-检查超过380个来自JAVA专家的编码规范-改正违反超过160个编码规范的错误-允许用户创建自己的编码规范-和IBMWebSphere和Eclipse集成-automatically Java unit testing and code inspection standards to help developers to write code grams of tools. Such analysis could be made, and then generating unit test cases to include the largest coverage testing revealed abnormal untreated check and demand.- Automatic fundamental error prevention, including unit testing and automatic code inspection standards-generating unit testing and implementation of case-TESTING provided for model testing and system testing fast and simple way- identification and prevention of untreated running abnormal function error, memory leak, Performance and security weaknesses-monitoring test coverage-automatic regression test-screening more than 380 experts from Java coding standard-correct violations of over 160 coding standard error-allows users to cre
Platform: | Size: 2151424 | Author: 张玉明 | Hits:

[JSP/JavaRegression_ana

Description: 一个用java写的回归分析的类,可用于预测、模式识别-write with a regression analysis of the category, can be used to predict, pattern recognition
Platform: | Size: 3072 | Author: 雷天无 | Hits:

[Mathimatics-Numerical algorithmslineAndTest

Description: 实现一元线性回归分析并进行F,t检验,以便对得出的回归方程进行线性显著性分析-achieving a linear regression analysis and F, t test, in order to come to the linear regression equation significantly Analysis
Platform: | Size: 5120 | Author: 张松 | Hits:

[Other resourceWeka-3-2

Description: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. 一个可以实现多种方法分类的软件,利用各个 对象的属性。决策树,距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc.
Platform: | Size: 15446016 | Author: 马何坛 | Hits:

[AI-NN-PRSubstituter.java

Description: 代入法的启发示搜索 我的代码实现是:按照自然语言各字母出现频率的大小从高到低(已经有人作国统计分析了)先生成一张字母出现频率统计表(A)--------(e),(t,a,o,i,n,s,h,r),(d,l),(c,u,m,w,f,g,y,p,b),(v,k,j,x,q,z) ,再对密文字母计算频率,并按频率从高到低生成一张输入密文字母的统计表(B),通过两张表的对应关系,不断用A中的字母去替换B中的字母,搜索不成功时就回退,在这里回朔是一个关键。 -generation into a search of inspiration I said a code is : According to the Natural Language alphabet frequency of the size of precedence (has been for the State Statistical Analysis), Mr. into an alphabet frequency tables (A )--------( e), (t, a, o, i, n, s, h r), (d, l), (c, u, m, w, f, g, y, p, b), (v, k, j, x, q, z), again close to the mother language calculated frequency and frequency input precedence generate a secret letter to the mother TAB (B), Table 2 by the corresponding relations, use of the letters A to B to replace the letters of the alphabet, when unsuccessful search regression, Here is a retrospective key.
Platform: | Size: 4096 | Author: rtshen | Hits:

[JSP/Javahuigui

Description: 一款进行多元线性回归分析软件.可以完成多元回归模型的参数估计和统计检验,可以通过Excel获取外部数据,并且能够把计算结果保存成xls文件,计算结果的差方图-Conducted a multiple linear regression analysis software. Can complete multiple regression model parameters estimates and statistical test, you can access external data through Excel and be able to save the results into the calculation xls files, calculating the difference between the results of Quadrant
Platform: | Size: 9303040 | Author: linlin | Hits:

[JSP/Javajava

Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件还有一个特点,就是对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数就可以解决很多问题;并且提供了交互检验(Cross Validation)的功能。-LIBSVM is林智仁Taiwan University (Lin Chih-Jen), associate professor of design, such as the development of a simple, easy-to-use and fast and efficient pattern recognition and regression SVM package, he compiled to provide not only a series of systems in the Windows implementation of file , also provided the source code to facilitate the improvements, modifications as well as in other operating systems applications the software also has a feature of SVM is to adjust the parameters involved are relatively small, with a lot of the default parameters, use the default parameters can solve many problems and to provide a cross-validation (Cross Validation) function.
Platform: | Size: 78848 | Author: 陈耀宇 | Hits:

[AlgorithmAuto_Regression

Description: 对数据进得自回归分析预测。并生成下一周期的预测值-Of data into the prediction derived from the regression analysis. And generate the next cycle of prediction value
Platform: | Size: 2048 | Author: 徐庆 | Hits:

[JSP/JavaBayesianLogisticRegression

Description: bayes算法在java环境下的开发和实现过程,主要是网络结构的建立和推理过程-Bayes algorithm in java development environment and the realization of the process, mainly the establishment of the network structure and reasoning process
Platform: | Size: 8192 | Author: cherish | Hits:

[AI-NN-PRweka-3-4-12

Description: weka全名是怀卡托智能分析环境(Waikato Environment for Knowledge Analysis),是一个公开的数据挖掘工作平台,集合了大量能承担数据挖掘任务的机器学习算法,包括对数据进行预处理,分类,回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an open platform for data mining work, collection of a large number of data mining capable of undertaking the task of machine learning algorithms, including data pre-processing, classification, regression , clustering, association rules, as well as in the new interactive visualization interface
Platform: | Size: 10288128 | Author: 朱磊 | Hits:

[Documentsjmsl

Description: jmsla collection of mathematical, statistical and charting classes, written in 100 Java, marketed by Visual Numeric, Inc. Includes linear algebra, zero finding, splines, ordinary differential equations, linear programming, nonlinear optimization, FFTs, special functions, regression, ANOVA, ARMA, Kalman filters-a collection of mathematical, statistical and charting classes, written in 100 Java, marketed by Visual Numeric, Inc. Includes linear algebra, zero finding, splines, ordinary differential equations, linear programming, nonlinear optimization, FFTs, special functions, regression, ANOVA, ARMA, Kalman filters
Platform: | Size: 10246144 | Author: lu | Hits:

[MultiLanguagewebcat

Description: 这是一个100 %纯Java库,您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法, namelly 支持向量机,贝叶斯Logistic回归,神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归,一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项,请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gram analysis techniques to the process of categorizing text files. The package includes several different categorization algorithms, namelly SVMs, Bayesian Logistic Regression, NN classification and a text compression based algorithm. In the case of SVM and Bayesian Logistic Regression, a "one-against-one" apprach is used for multiclass classification. For a more detailed description of these learning algorithms and the available options please consult the supplied javadocs.
Platform: | Size: 838656 | Author: liwen | Hits:

[JSP/Javajunit

Description: JUnit是由 Erich Gamma 和 Kent Beck 编写的一个回归测试框架(regression testing framework)。如何快速使用junit-JUnit by Erich Gamma and Kent Beck prepared a regression testing framework (regression testing framework). How to quickly use the junit
Platform: | Size: 5239808 | Author: onika | Hits:

[Otherweka-3-6-1

Description: Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Platform: | Size: 18667520 | Author: Alan | Hits:

[JSPAutomation-regression-testing-in-Java-project

Description: 自动化回归测试在Java项目中的实现.文中首先介绍了软件 自动化测试和回归测试的概念,然后以一个用 Java语言开发的项目CADS为例,详细阐述了如何在 Java项目中实现回归测试的自动化,最后总结了自动化回归测试的优点及其适用范围。 -Automated regression testing in the Java implementation of the project
Platform: | Size: 181248 | Author: jianjun | Hits:

[JSP/JavaLinearRegression

Description: linear regression analysis in java
Platform: | Size: 1024 | Author: maraliao | Hits:

[JSP/Javajiffie

Description: a Java/JNI library which allows Microsoft Internet Explorer to be controlled from Java. The primary purpose of this library is to allow automated regression testing of web applications using a framework like JUnit.
Platform: | Size: 861184 | Author: | Hits:

[JSP/Javamath

Description: A collection of mathematics routines that I use in my programs. Implementation of standard but non-trivial operations like interpolation and regression in Java. [note: please activate and notify me at tonysabbadini@hotmail.com if possible thanks!]-A collection of mathematics routines that I use in my programs. Implementation of standard but non-trivial operations like interpolation and regression in Java. [note: please activate and notify me at tonysabbadini@hotmail.com if possible thanks!]
Platform: | Size: 22528 | Author: sabbad | Hits:

[Big DataARMA-Java--master

Description: ARIMA模型是通过将预测对象随时间推移而形成的数据序列当成一个随机序列,进而用一定的数学模型来近似表述该序列。根据原序列是否平稳以及回归中所包含部分的不同分为AR、MA、ARMA以及ARIMA过程。 在模型的使用过程中需要根据时间序列的自相关函数、偏自相关函数等对序列的平稳性进行判别;而对于非平稳序列一般都需要通过差分处理将其转换成平稳序列(ARIMA);对得到的平稳序列进行建模以确定最佳模型(AR、MA、ARMA或者ARIMA)。在使用中最重要也是最关键的就是对序列进行参数估计,以检验其是否具有统计意义。(The ARIMA model uses a mathematical model to approximate the sequence of data by forming a sequence of data that is predicted over time. It is divided into AR, MA, ARMA and ARIMA processes according to the stability of the original sequence and the included part of the regression. In the process of the model according to the autocorrelation function, the partial sequence of stationary sequence autocorrelation function of discrimination; and for non stationary sequences generally need treatment to convert it into stationary sequence by difference (ARIMA); for the stationary sequences obtained were modeled to determine the best model (AR ARMA, MA, or ARIMA). In use, the most important and most important is to estimate the parameters of the sequence to test whether it is statistically significant.)
Platform: | Size: 2026496 | Author: 艾玛菲尔 | Hits:

[ERP-EIP-OA-Portalpdvtk

Description: Including script files and function files in the form, Including regression analysis and probability and statistics, Use of natural gradient algorithm.
Platform: | Size: 8192 | Author: beifentuiben | Hits:
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