登录
首页 » Python » 机器学习框架techstar-ai-master

机器学习框架techstar-ai-master

于 2019-02-24 发布 文件大小:133KB
0 168
下载积分: 1 下载次数: 0

代码说明:

  一种大数据机器学习框架的源代码,techstar-ai(The source code of a large data machine learning framework, techstar-ai)

文件列表:

techstar-ai-master, 0 , 2018-02-24
techstar-ai-master\LICENSE, 7651 , 2018-02-24
techstar-ai-master\README.md, 755 , 2018-02-24
techstar-ai-master\classifiers, 0 , 2018-02-24
techstar-ai-master\classifiers\.gitignore, 0 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.2014.js, 18462 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.2015.js, 23762 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.js, 18462 , 2018-02-24
techstar-ai-master\classifiers\bayesian, 0 , 2018-02-24
techstar-ai-master\classifiers\bayesian\LICENSE, 1178 , 2018-02-24
techstar-ai-master\classifiers\bayesian\README.md, 221 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends, 0 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends\localStorage.js, 2055 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends\memory.js, 949 , 2018-02-24
techstar-ai-master\classifiers\bayesian\bayesian.js, 7619 , 2018-02-24
techstar-ai-master\classifiers\decisiontree, 0 , 2018-02-24
techstar-ai-master\classifiers\decisiontree\DecisionTree.js, 4834 , 2018-02-24
techstar-ai-master\classifiers\decisiontree\DecisionTreeDemo.js, 463 , 2018-02-24
techstar-ai-master\classifiers\index.js, 1286 , 2018-02-24
techstar-ai-master\classifiers\kNN, 0 , 2018-02-24
techstar-ai-master\classifiers\kNN\kNN.js, 4092 , 2018-02-24
techstar-ai-master\classifiers\multilabel, 0 , 2018-02-24
techstar-ai-master\classifiers\multilabel\Adaboost.js, 4507 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinaryRelevance.js, 8048 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinaryRelevanceDemo.js, 1823 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinarySegmentation.js, 12792 , 2018-02-24
techstar-ai-master\classifiers\multilabel\CrossLangaugeModelClassifier.js, 5173 , 2018-02-24
techstar-ai-master\classifiers\multilabel\Homer.js, 11429 , 2018-02-24
techstar-ai-master\classifiers\multilabel\MetaLabeler.js, 4828 , 2018-02-24
techstar-ai-master\classifiers\multilabel\MulticlassSegmentation.js, 7415 , 2018-02-24
techstar-ai-master\classifiers\multilabel\PartialClassification.js, 3864 , 2018-02-24
techstar-ai-master\classifiers\multilabel\PassiveAggressiveHash.js, 6927 , 2018-02-24
techstar-ai-master\classifiers\multilabel\ThresholdClassifier.js, 7036 , 2018-02-24
techstar-ai-master\classifiers\multilabel\index.js, 934 , 2018-02-24
techstar-ai-master\classifiers\multilabel\multilabelutils.js, 1877 , 2018-02-24
techstar-ai-master\classifiers\neural, 0 , 2018-02-24
techstar-ai-master\classifiers\neural\NeuralNetwork.js, 659 , 2018-02-24
techstar-ai-master\classifiers\perceptron, 0 , 2018-02-24
techstar-ai-master\classifiers\perceptron\PerceptronHash.js, 5971 , 2018-02-24
techstar-ai-master\classifiers\svm, 0 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmJs.js, 2610 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmJsDemo.js, 583 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinear.js, 9965 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinearDemo.js, 1196 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinearMulticlassDemo.js, 1850 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmPerf.js, 6416 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmPerfDemo.js, 928 , 2018-02-24
techstar-ai-master\classifiers\svm\svmcommon.js, 3374 , 2018-02-24
techstar-ai-master\classifiers\svm\tempfiles, 0 , 2018-02-24
techstar-ai-master\classifiers\svm\tempfiles\.gitignore, 3 , 2018-02-24
techstar-ai-master\classifiers\winnow, 0 , 2018-02-24
techstar-ai-master\classifiers\winnow\WinnowHash.js, 9913 , 2018-02-24
techstar-ai-master\classifiers\winnow\WinnowHashDemo.js, 631 , 2018-02-24
techstar-ai-master\features, 0 , 2018-02-24
techstar-ai-master\features\CollectionOfExtractors.js, 922 , 2018-02-24
techstar-ai-master\features\FeatureLookupTable.js, 4155 , 2018-02-24
techstar-ai-master\features\HypernymExtractor.js, 2097 , 2018-02-24
techstar-ai-master\features\LowerCaseNormalizer.js, 273 , 2018-02-24
techstar-ai-master\features\NGramsFromArray.js, 595 , 2018-02-24
techstar-ai-master\features\NGramsOfLetters.js, 845 , 2018-02-24
techstar-ai-master\features\NGramsOfWords.js, 384 , 2018-02-24
techstar-ai-master\features\README.md, 217 , 2018-02-24
techstar-ai-master\features\RegexpNormalizer.js, 1041 , 2018-02-24
techstar-ai-master\features\RegexpSplitter.js, 1104 , 2018-02-24
techstar-ai-master\features\index.js, 1158 , 2018-02-24
techstar-ai-master\formats, 0 , 2018-02-24
techstar-ai-master\formats\arff.js, 4255 , 2018-02-24
techstar-ai-master\formats\index.js, 132 , 2018-02-24
techstar-ai-master\formats\json.js, 488 , 2018-02-24
techstar-ai-master\formats\svmlight.js, 1393 , 2018-02-24
techstar-ai-master\formats\tsv.js, 444 , 2018-02-24
techstar-ai-master\index.js, 156 , 2018-02-24
techstar-ai-master\package.json, 811 , 2018-02-24
techstar-ai-master\test, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\BayesianWithFeatureExtractorTest.js, 3069 , 2018-02-24
techstar-ai-master\test\classifiersTest\DecisionTreeTest.js, 1009 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithFeatureExtractorTest.js, 2328 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithNormalizerTest.js, 2810 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithSpellCheckerTest.js, 2157 , 2018-02-24
techstar-ai-master\test\classifiersTest\PerceptronTest.js, 1125 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmJsTest.js, 1882 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmMulticlassTest.js, 3458 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmTest.js, 3312 , 2018-02-24
techstar-ai-master\test\classifiersTest\WinnowExampleTest.js, 2206 , 2018-02-24
techstar-ai-master\test\classifiersTest\WinnowTest.js, 2241 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian\sync.js, 2584 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian\thresholds.js, 1618 , 2018-02-24
techstar-ai-master\test\classifiersTest\kNNTest.js, 3100 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\AdaboostTest.js, 1172 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\BinaryRelevanceBayesTest.js, 3318 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\BinaryRelevanceWinnowTest.js, 5467 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\ClassifierWithSplitterTest.js, 2228 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\HomerBinaryRelevanceWinnowTest.js, 9110 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerLanguageModelTest.js, 3576 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerSvmTest.js, 4320 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerWinnowTest.js, 4707 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MulticlassSegmentationBayesTest.js, 3195 , 2018-02-24

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • websocket_server
    A class to help start/stop the PyWebSocket server used by layout tests for Andriod.
    2014-03-07 11:05:24下载
    积分:1
  • tornado-master
    python tornado web开源框架最新版3.3 facebook用的哦(The latest version 3.3 of open source framework tornado)
    2014-02-28 10:03:39下载
    积分:1
  • distillation
    说明:  使用PYTHON对精馏过程进行编程,比较实用(Using Python to program distillation process is more practical)
    2021-03-15 19:59:22下载
    积分:1
  • proxy_wmswfs
    Simple proxy server for wfs services. Place the file to the cgi folder in your java web server. Change allowed hosts,ports, and username,password.
    2016-03-16 15:56:36下载
    积分:1
  • abaqus-element
    abaqus-各个单元分开附材料属性,用于处理材料各个网格单元不同时的情况!(Each element is attached to material properties separately)
    2021-04-21 14:58:49下载
    积分:1
  • KNN移动号码套餐机器学习分类
    KNN移动号码套餐机器学习分类。使用KNN分类方法对移动的号码进行套餐分类。在input.txt 中输入要分类的手机号码。运行KNN, 就会生成,output.txt 结果。
    2022-08-08 02:52:45下载
    积分:1
  • project3
    中科大高级计算机网络第三次作业:使用Pyretic完成一个基于mac学习的第二层防火墙(USTC Advanced Computer Network third job: Using Pyretic complete a second layer firewall mac-based learning)
    2020-06-29 11:40:01下载
    积分:1
  • alien_invasion
    说明:  python项目之外星人入侵,制作小型游戏项目,zszs(alien_invasion,zszszsszszsszszszszzssz)
    2019-11-29 12:20:38下载
    积分:1
  • Python
    sample python programs
    2012-09-11 00:25:53下载
    积分:1
  • Problem
    洛谷OJ P1000,1421,1422,1425 Python 3 代码(Luogu OJ P1000,1421,1422,1425 in Python 3)
    2020-06-18 13:40:02下载
    积分:1
  • 696518资源总数
  • 106174会员总数
  • 31今日下载