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snips-nlu-metrics

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0.15.0 snips_nlu_metrics-0.15.0-py3-none-any.whl

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Project: snips-nlu-metrics
Version: 0.15.0
Filename: snips_nlu_metrics-0.15.0-py3-none-any.whl
Download: [link]
Size: 17028
MD5: 0f733a66f805bd16fe2c87089a454ca1
SHA256: cc5985c7acf552b38e8ea33864792d845299011d3039146efda6b0711860df74
Uploaded: 2020-03-10 15:41:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: snips-nlu-metrics
Version: 0.15.0
Summary: Python package to compute NLU metrics
Author: Adrien Ball
Author-Email: adrien.ball[at]snips.ai
Home-Page: https://github.com/snipsco/snips-nlu-metrics
License: Apache 2.0
Keywords: metrics nlu nlp intent slots entity parsing
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy (<2.0,>=1.7)
Requires-Dist: scipy (<2.0,>=1.0)
Requires-Dist: joblib (<0.15,>=0.13)
Requires-Dist: scikit-learn (<0.23,>=0.21.0); python_version >= "3.5"
Requires-Dist: mock (<3.0,>=2.0); extra == "test"
Requires-Dist: pytest (<6,>=5.3.1); extra == "test"
Provides-Extra: test
[Description omitted; length: 5057 characters]

WHEEL

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

RECORD

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top_level.txt

snips_nlu_metrics