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torch-kmeans

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0.2.0 torch_kmeans-0.2.0-py3-none-any.whl

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Project: torch-kmeans
Version: 0.2.0
Filename: torch_kmeans-0.2.0-py3-none-any.whl
Download: [link]
Size: 24605
MD5: 7319eb44b89c70c0526c89d1e54fc41d
SHA256: 6b6140d08b2b2ff5db9b5f8501a2d37d6f90197c2aa804f94545db3f8474a2ca
Uploaded: 2022-12-04 09:11:54 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: torch-kmeans
Version: 0.2.0
Summary: PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.
Author: Jonas K. Falkner
Author-Email: jokofa[at]gmail.com
Home-Page: https://github.com/jokofa/torch_kmeans
Project-Url: Documentation, https://readthedocs.org/
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Platform: any
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.18)
Requires-Dist: torch (>=1.08)
Requires-Dist: importlib-metadata; python_version < "3.8"
Requires-Dist: setuptools; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Requires-Dist: pre-commit; extra == "testing"
Requires-Dist: scikit-learn; extra == "testing"
Requires-Dist: sphinx-rtd-theme; extra == "testing"
Provides-Extra: testing
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE.txt
[Description omitted; length: 3897 characters]

WHEEL

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Tag: py3-none-any

RECORD

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torch_kmeans/clustering/__init__.py sha256=HzKWdybOoT5quVd5OEmRM2fsm95UYN4WSLmkR275KXE 195
torch_kmeans/clustering/constr_kmeans.py sha256=CpjbfSea_eouPFiZ442g-EbolmZiqu_iqSzsj3wTccE 21577
torch_kmeans/clustering/kmeans.py sha256=0gfJzMSlwvjvQ68i2IUcJH2QZbBS5YjvN6gfJsgNBqI 23689
torch_kmeans/clustering/knn.py sha256=0lxL9Q45QDrDliwgwmJ2afW6DRhINPsW9D9SnxA8tuE 5971
torch_kmeans/clustering/soft_kmeans.py sha256=n-0XIEGPhvZp2eHF7V5JEcaFESF86AO_Or3HhRzDebs 8411
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torch_kmeans/utils/utils.py sha256=hH4pNjTM8pyXA9O9_iwOpy23OBynuucnw4w8x5ew2A0 2619
torch_kmeans-0.2.0.dist-info/LICENSE.txt sha256=dYNhnu7B9Qcs5YslbeFcPqaWKSmZqOZAxY_MH7Gvj3Q 1083
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torch_kmeans-0.2.0.dist-info/RECORD — —

top_level.txt

torch_kmeans