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goes16ci

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0.1.3

goes16ci-0.1.3-py3-none-any.whl

Wheel Details

Project:	goes16ci
Version:	0.1.3
Filename:	goes16ci-0.1.3-py3-none-any.whl
Download:	[link]
Size:	19194
MD5:	`9d904168665d92296e5da45c16a31fab`
SHA256:	`fcfa1d3ce60d2d4a356bda3cf8046e6e910b1bf8233efb6abf74e625a4b273b7`
Uploaded:	2020-06-18 20:11:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	goes16ci
Version:	0.1.3
Summary:	Machine learning benchmark for lightning prediction with GOES16
Author:	David John Gagne
Author-Email:	dgagne[at]ucar.edu
Home-Page:	https://github.com/NCAR/goes16ci
License:	MIT
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	pandas
Requires-Dist:	tensorflow (>=1.15.2)
Requires-Dist:	xarray
Requires-Dist:	dask
Requires-Dist:	pyyaml
Requires-Dist:	s3fs
Description-Content-Type:	text/markdown

[Description omitted; length: 2950 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.34.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
goes16ci/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
goes16ci/data.py	sha256=cR5DS6j9S91HxLJlp4VRcp6EGpJQVh1W4HMuwAhWQ_Y	5826
goes16ci/imager.py	sha256=VqQiFWuujfXCL9Rg7ZhP4i4jji140JM5zYhVi1hWIsM	22933
goes16ci/lightning.py	sha256=ypbQuZdPaznKN4BEwuRy3aAbnL8m-IcU6ATqzKAumac	8698
goes16ci/models.py	sha256=YvvoLqEAXMCcOyHN1a1uY8DsmTW8F3T1xx_1UCJT8rg	19508
goes16ci/monitor.py	sha256=qK9FERmJIDrGkj8S0SkO5KNc08qQz7NibnBeS5r6fto	9069
goes16ci-0.1.3.dist-info/METADATA	sha256=cuSY3AmiQRSM2_EiAoOG738Dd2QU7_IAs6W6BBBqof0	3431
goes16ci-0.1.3.dist-info/WHEEL	sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY	92
goes16ci-0.1.3.dist-info/top_level.txt	sha256=OTaCR-sTVvztMeIFjS0Ay7XCnMm4uheGNGyejrs-2Rk	9
goes16ci-0.1.3.dist-info/RECORD	—	—

top_level.txt

goes16ci