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Rekodi ya ushahidi wa mbinu

DeepAR

DeepAR is Amazon's industrial forecasting model, introduced by Salinas, Flunkert and Gasthaus (2017; published 2020), that uses an autoregressive recurrent neural network to estimate the parameters of a probability distribution at each step, producing a confidence interval rather than a single point forecast. It can model many related time series jointly within one model.

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DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • Salinas, D., Flunkert, V., Gasthaus, J. & Januschowski, T. (2020). DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks. International Journal of Forecasting, 36(3), 1181–1191. · DOI 10.1016/j.ijforecast.2019.07.001
  • Salinas, D., Flunkert, V. & Gasthaus, J. (2017). DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks. arXiv:1704.04110. · URL
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See alsoARIMAmachine-suggested · Relational suggestion, not evidence.See alsoConformal Prediction (Time Series)machine-suggested · Relational suggestion, not evidence.Same method familyN-HiTSmachine-suggested · Relational suggestion, not evidence.Same method familyPatchTSTmachine-suggested · Relational suggestion, not evidence.Same method familyRandom Forestmachine-suggested · Relational suggestion, not evidence.

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