Orange3-MNE

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1.0.13 Orange3_MNE-1.0.13-py3-none-any.whl

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Project: Orange3-MNE
Version: 1.0.13
Filename: Orange3_MNE-1.0.13-py3-none-any.whl
Download: [link]
Size: 420277
MD5: 650076d32294acda40b9fab99a5da596
SHA256: 6f4547c92a5b35c5c7eca104c655487df2e828f07e98ab20ce6593609611d74c
Uploaded: 2022-09-30 17:09:05 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: Orange3-MNE
Version: 1.0.13
Summary: Electrophysiological data processing widgets for Orange 3 based on the MNE for Python library.
Author: Filip Jani
Author-Email: jsem[at]filek.cz
Home-Page: https://gitlab.com/fifal/orange-mne-library
Keywords: orange3 add-on,mne,eeg,electrophysiology
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: mne (==1.1.1)
Requires-Dist: PyQt5
Requires-Dist: keras (==2.10.0)
Requires-Dist: keras-metrics (==1.1.0)
Requires-Dist: tensorflow (==2.10.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2100 characters]

WHEEL

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Root-Is-Purelib: true
Tag: py3-none-any

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Orange3MNE

entry_points.txt

EEG – 1. Data IO = Orange3MNE.EegDataIO.widgets
EEG – 2. Preprocessing = Orange3MNE.EegPreprocessing.widgets
EEG – 3. Feature extraction = Orange3MNE.EegFeatureExtraction.widgets
EEG – 4. Classification = Orange3MNE.EegClassification.widgets
EEG – 5. Visualization = Orange3MNE.EegVisualization.widgets