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MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding、graph,etc

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DML

机器学习算法库,主要涉及:分类、回归、聚类(GMM)、图、主题模型、词(文档)向量、神经网络(RNN)、时间序列分析等方面。

目前提供的binary包括:

  • topic model (lda,hlda,xlda)
  • logistic regression(lr)
  • gradient boosting decision tree(gblr,gbmr,gbrank)
  • neural network (rnnlm, w2v, d2v)
  • clustering(k2d, kmeans, Louvain)
  • ...

时间序列分析中主要涉及了:

  • 时序比较(dp based methods)
  • 时序平滑及异常点检测(loess)
  • 时序断点检测(breakout)
  • 时序数据集字典发现(pattern)

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MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding、graph,etc

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