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
0 223
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

  • lab100
    说明:  无源传感器网络的分布式能量自适应最小化延迟调度(Distributed Energy Adaptive Minimization Delay Scheduling for Passive Sensor Networks)
    2020-06-24 12:20:02下载
    积分:1
  • CASC
    Python Web 爬虫,爬豆瓣影评,生成词云,再将词云生成图片。(Crawler, douban film review, comment word cloud into pictures)
    2020-06-22 11:20:02下载
    积分:1
  • Django-博客项目
    【实例简介】一个简单的博客项目
    2021-06-05 00:31:14下载
    积分:1
  • 简单爬虫文件夹
    一个简单的爬虫程序。1、 打开百度网页 2、将网页HTML转化成utf-8格式存入文件 baidu.txt 3、获取网页中的所有a标签对象 ,将对象指向的链接地址抓取出来(A simple crawler program. 1. Open the Baidu web page 2, convert the web page HTML into UTF-8 format and store the file baidu.txt 3. Get all the a tag objects in the web page and grab the linked addresses of the objects.)
    2018-04-22 17:51:38下载
    积分:1
  • python
    Python 基础教程 (莫烦 Python 教程)(Python Basic Tutorial)
    2020-06-21 16:00:01下载
    积分:1
  • 高仿网易云播放器
    一个仿照网易云音乐的音乐播放器,?pyQT6 +python3.6,谢谢支持(A replica of the wangyiyun music music player, pyQT6 +python3.6, thank you for your support)
    2020-07-13 19:58:52下载
    积分:1
  • 室内定位
    通过各种不同的算法实现室内高精度定位,比如说KNN,随机森林,SVM,等等。(Indoor high-precision positioning is achieved by various algorithms, such as KNN, random forest, SVM, and so on.)
    2019-06-12 19:40:29下载
    积分:1
  • 自定义的mininet-wifi的网络拓扑
    说明:  自定义的mininet-wifi的网络拓扑(Custom mininet-wifi network topology)
    2020-05-28 10:25:49下载
    积分:1
  • PDF翻译
    说明:  可以翻译英文论文,非常简单便捷,效果还不错(Can translate English papers, very simple and convenient, the effect is good)
    2020-04-09 19:25:21下载
    积分:1
  • 深度学习处理图片 deep-learning-for-image-processing-master
    说明:  深度学习处理图片,适合学习仔细研究等等等等(Python Programming introductory books, suitable for beginners to learn, recommended)
    2020-07-08 16:57:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载