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Project description
| Info: | See <https://arxiv.org/abs/1406.6651> for theoretical background |
|---|---|
| Author: | ZeD@UChicago <zed.uchicago.edu> |
| Description: | Implementation of the Deep Granger net inference algorithm, described in https://arxiv.org/abs/1406.6651, for learning spatio-temporal stochastic processes (point processes). cynet learns a network of generative local models, without assuming any specific model structure. |
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size Znet-0.0.1.tar.gz (12.6 kB) | File type Source | Python version None | Upload date | Hashes View |
