Dml
MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding、graph，etc
Install / Use
/learn @liuzhiqiangruc/DmlREADME
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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