Introducing ProsperNN—a Python package for forecasting with neural networks
We present the package prosper_nn, that provides four neural network architectures dedicated to time series forecasting, implemented in PyTorch. In addition, prosper_nn contains the first sensitivity analysis suitable for recurrent neural networks (RNN) and a heatmap to visualize forecasting uncerta...
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Main Authors: | Nico Beck, Julia Schemm, Claudia Ehrig, Benedikt Sonnleitner, Ursula Neumann, Hans Georg Zimmermann |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2024-11-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2481.pdf |
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