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: 15446626 |
Author:马何坛 |
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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: 3971 |
Author:rtshen |
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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: 2151952 |
Author:张玉明 |
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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:
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:
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:
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:
Search - java code for regression