GluonTS - Probabilistic Time Series Modeling in Python
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models, based on PyTorch and MXNet.
Jun 12, 2019 · Abstract:We introduce Gluon Time Series (GluonTS, available at this https URL), a library for deep-learning-based time series modeling.
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models, based on PyTorch and MXNet. Installation#. GluonTS ...
GluonTS simplifies the time series modeling pipeline by providing the necessary components and tools for quick model development, efficient experimentation and ...
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models. Installation. GluonTS requires Python 3.6 or newer, ...
We introduce Gluon Time Series (GluonTS)1, a library for deep-learning-based time series modeling. GluonTS simplifies the development of and experimentation ...
GluonTS: Probabilistic Time Series Models in Python - NASA/ADS
ui.adsabs.harvard.edu › abs › abstract
GluonTS: Probabilistic Time Series Models in Python · Alexandrov, Alexander · Benidis, Konstantinos · Bohlke-Schneider, Michael · Flunkert, Valentin · Gasthaus, ...
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GluonTS simplifies the time series modeling pipeline by providing the necessary components and tools for quick model development, efficient experimentation and ...
GluonTS addresses probabilistic modeling of uni- or multi-variate sequences of (large) collections of time series. Important applications include forecasting, ...
Probabilistic forecasting requires that we learn the distribution of the future values of the time series and not the values themselves as in point forecasting.