Publication | Open Access
GluonTS: Probabilistic Time Series Models in Python
76
Citations
29
References
2019
Year
Data AugmentationSpatiotemporal DiagnosticsMachine LearningData ScienceEngineeringDeep-learning-based Time SeriesPredictive AnalyticsProbabilistic AnalysisGluon Time SeriesNew ModelsTemporal Pattern RecognitionProbability TheoryComputer ScienceForecastingDeep LearningRecurrent Neural NetworkNonlinear Time Series
We introduce Gluon Time Series (GluonTS, available at https://gluon-ts.mxnet.io), a library for deep-learning-based time series modeling. GluonTS simplifies the development of and experimentation with time series models for common tasks such as forecasting or anomaly detection. It provides all necessary components and tools that scientists need for quickly building new models, for efficiently running and analyzing experiments and for evaluating model accuracy.
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