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1.2.0 dionn-1.2.0-py3-none-any.whl

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Project: dionn
Version: 1.2.0
Filename: dionn-1.2.0-py3-none-any.whl
Download: [link]
Size: 5510
MD5: 332bc29b4001373f7c02ee353634789e
SHA256: 606fec68c639351005d4aea46a364e28c42524372e4619b4da139bc662e7e1e9
Uploaded: 2024-11-23 18:15:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: dionn
Version: 1.2.0
Summary: Detection Intra-class Outliers with Neural Networks (DIONN) algorithm
Author: Sebastian Jara, Juan Zamora, Pascal Sigel, Kerlyns Martínez, Daira Velandia, Sebastián Vegas
Home-Page: https://github.com/juanzamorai/intracluster-filtering
License: MIT
Requires-Dist: numpy (==1.25.2)
Requires-Dist: scikit-learn
Requires-Dist: tensorflow (==2.10.0)
Requires-Dist: keras (==2.10.0)
Requires-Dist: protobuf (<3.20,>=3.9.2)
Requires-Dist: gast
Requires-Dist: astunparse
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Requires-Dist: google-pasta (>=0.1.1)
Requires-Dist: libclang (>=13.0.0)
Requires-Dist: opt-einsum (>=2.3.2)
Requires-Dist: plotly
Requires-Dist: ml-dtypes (==0.3.1)
Requires-Dist: seaborn
Description-Content-Type: text/markdown
[Description omitted; length: 2045 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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dionn/data_selector.py sha256=ZhaWrrx0XLsF3LGxhLbE0WBxJbHN3_EAJadxI3PJ7nM 11023
utils/__init__.py sha256=frcCV1k9oG9oKj3dpUqdJg1PxRT2RSN_XKdLCPjaYaY 2
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dionn-1.2.0.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
dionn-1.2.0.dist-info/top_level.txt sha256=-V0f20S1e8LVJnV5JrkSwnBBnqKqMAzO9-8fYvieuh8 12
dionn-1.2.0.dist-info/RECORD — —

top_level.txt

dionn
utils