d3m-esrnn

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0.1.1 d3m_esrnn-0.1.1-py3-none-any.whl

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Project: d3m-esrnn
Version: 0.1.1
Filename: d3m_esrnn-0.1.1-py3-none-any.whl
Download: [link]
Size: 28446
MD5: dea4cff9e3335a738bcda959f0009cb1
SHA256: b616e4e9b450d96ebf99b87de80ae6d05f332389b8a180d3cf03f57a5ae6d5c9
Uploaded: 2022-02-18 21:43:45 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: d3m-esrnn
Version: 0.1.1
Summary: ESRNN implementation for Data Driven Discovery(D3M)
Author: CMU
Author-Email: awillia2[at]andrew.cmu.edu
Home-Page: https://github.com/autonlab/esrnn
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: d3m
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: torch (>=1.3.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 241 characters]

WHEEL

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Tag: py3-none-any

RECORD

Path Digest Size
esrnn/__init__.py sha256=ZJHNdI7AwDeP0ovY8GliVsF8vc1OM6pCadCpVjzRQwM 86
esrnn/forecasting_esrnn.py sha256=57E1fRF3O0wb1S2VyMmhOoIwY_aKMtfTCMBQH3tMRuE 25353
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d3m_esrnn-0.1.1.dist-info/RECORD

top_level.txt

esrnn

entry_points.txt

time_series_forecasting.esrnn.RNN = esrnn.forecasting_esrnn:ForecastingESRNNPrimitive