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concordia

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0.1.1 concordia-0.1.1-py2.py3-none-any.whl

Wheel Details

Project: concordia
Version: 0.1.1
Filename: concordia-0.1.1-py2.py3-none-any.whl
Download: [link]
Size: 19241
MD5: 8feaec42fad1e59f15387faac6d4cc69
SHA256: c9309a95cb3944cfe4ece2d281fc750de6cab6e6b5b016cac8674c80f39319f3
Uploaded: 2018-02-27 20:54:14 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: concordia
Version: 0.1.1
Summary: Automated monitoring of machine learning models in production. Tracks and finds discrepancies in features, predictions, and labels
Author: Preston Parry
Author-Email: ClimbsBytes[at]gmail.com
Home-Page: https://github.com/ClimbsRocks/Concordia
License: MIT
Keywords: machine learning,data science,automated machine learning,deploying,machine learning in production,productionizing machine learning,tracking,feature discrepancies,train/serve skew,train serve skew,train-serve skew,model accuracy,alerts,monitoring,production ready,test coverage
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: auto-ml (>=2.9.4)
Requires-Dist: dill (<0.3,>=0.2.3)
Requires-Dist: pymongo (<4.0,>3.0)
Requires-Dist: redis (<3.0,>2.0)
[Description omitted; length: 4111 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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concordia/__init__.py sha256=WKSJKQHnuP9DLmLLpnwnkUB0rKBS12_ipBwaBz0Gby8 88
concordia/_version.py sha256=rnObPjuBcEStqSO0S6gsdS_ot8ITOQjVj_-P1LUUYpg 22
concordia/create_and_load.py sha256=DkFAKkKjNYAYZ8zMCfjnEv6l9V0fkti1YnrnGJ8oIQ8 19038
concordia-0.1.1.dist-info/DESCRIPTION.rst sha256=M2JR5hxXa5GF1JgrP8UNFNMcnl6NKKDIjTpndOyfG3o 4111
concordia-0.1.1.dist-info/METADATA sha256=PmUI68sYErSQr7ZiJCUMZuTCrnyQZQdhZsnlWb9xK-Q 5656
concordia-0.1.1.dist-info/RECORD — —
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concordia-0.1.1.dist-info/metadata.json sha256=LBZoa05R_VMWqmCfSuE99WocKHQ3twfQ2uU-ZPH1-lM 1786
concordia-0.1.1.dist-info/top_level.txt sha256=sm2OHRr6ZQr1XH7Y5yhoMT6Ox94xEk4HvMgsZ2UhhGs 10

top_level.txt

concordia