Recognition: unknown
GluonTS: Probabilistic Time Series Models in Python
classification
💻 cs.LG
stat.ML
keywords
seriestimegluontsmodelsaccuracyanalyzinganomalyavailable
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.