文件名称:spark-timeSeries
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采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distributed time series prediction algorithm)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
timeSeries\HoltWinters.scala
timeSeries\local\readme.md
timeSeries\local\TimeSeriesModel.scala
timeSeries\local\TimeSeriesTrain.scala
timeSeries\local2\TimeSeriesModel.scala
timeSeries\local2\TimeSeriesTrain.scala
timeSeries\test\TimeSeriesModel.scala
timeSeries\test\TimeSeriesTrain.scala
timeSeries\time.scala
timeSeries\TimeSeriesKeyModel.scala
timeSeries\TimeSeriesTrain.scala
timeSeries\local
timeSeries\local2
timeSeries\test
timeSeries
timeSeries\local\readme.md
timeSeries\local\TimeSeriesModel.scala
timeSeries\local\TimeSeriesTrain.scala
timeSeries\local2\TimeSeriesModel.scala
timeSeries\local2\TimeSeriesTrain.scala
timeSeries\test\TimeSeriesModel.scala
timeSeries\test\TimeSeriesTrain.scala
timeSeries\time.scala
timeSeries\TimeSeriesKeyModel.scala
timeSeries\TimeSeriesTrain.scala
timeSeries\local
timeSeries\local2
timeSeries\test
timeSeries