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raccoon-cluster

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0.5.1 raccoon_cluster-0.5.1-py3-none-any.whl

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Project: raccoon-cluster
Version: 0.5.1
Filename: raccoon_cluster-0.5.1-py3-none-any.whl
Download: [link]
Size: 63868
MD5: eef7cfbe2272bdda07ac21152e12cc10
SHA256: 9ac9117aef9df5c09ecd4571b9c438567095f95e184052e18a38901c9139def7
Uploaded: 2022-08-10 03:13:56 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: raccoon-cluster
Version: 0.5.1
Summary: Scale-adaptive clustering in Python
Author: Federico Comitani
Author-Email: federico.comitani[at]gmail.com
Home-Page: https://github.com/shlienlab/raccoon
Download-Url: https://github.com/shlienlab/raccoon/archive/0.5.1.tar.gz
License: GPL-3.0
Keywords: clustering,optimization,dimensionality-reduction,differential-evolution,knn,umap,hierarchical-clustering,multi-scale,scale-adaptive,optimal-clusters
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: pandas (>=1.1.3)
Requires-Dist: scikit-learn (>=0.22.2.post1)
Requires-Dist: scikit-network (==0.20.0)
Requires-Dist: numba (>=0.52.0)
Requires-Dist: umap-learn (>=0.3.9)
Requires-Dist: optuna (>=2.10.0)
Requires-Dist: psutil (>=5.7.3)
Requires-Dist: anytree (>=2.8.0)
Requires-Dist: matplotlib (>=3.3.3)
Requires-Dist: seaborn (>=0.11.0)
Requires-Dist: cupy (==8.60); extra == "gpu"
Requires-Dist: cuml (==0.18); extra == "gpu"
Requires-Dist: cudf (==0.18); extra == "gpu"
Requires-Dist: cugraph (==0.18); extra == "gpu"
Requires-Dist: hdbscan; extra == "hdbscan"
Provides-Extra: gpu
Provides-Extra: hdbscan
License-File: LICENSE
[Description omitted; length: 4697 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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raccoon/_version.py sha256=oGjNBRvxuGYZ3nKX3LttCTqOUa3VJYzE2WPzajGef2o 58
raccoon/classification.py sha256=zO1e4HQaJOldUKuMdW7g9fOR4xryc6IaQZkPP_e01Ho 17915
raccoon/clustering.py sha256=iBmEXXgOSVXgU4TJZZqXEHHjQrX0j-jhdHLUT_s9PlI 78452
raccoon/interface.py sha256=lgBMGkGfHEfLHnz9jiw-r6o9n2VLWeIXf0OlMPRvvoI 16023
raccoon/main.py sha256=6Ln3QAAYAz-doIADVAnOxBtpiwCIc2SCQVcTx1yz7uA 13328
raccoon/update.py sha256=0ZaMe4CCNjHsKIrkjyZ_6QdMJ-eFJGDFWVpriCwgJ2s 15310
raccoon/optim/__init__.py sha256=U2gqaKyzu5MWMoGLukyUIC1lfZ0s4-HUq74uxD-TRQ4 115
raccoon/optim/de.py sha256=i1mbrx96o_4Fc4ddqoxYY4dPNvwPejqk-uowPxt97es 8070
raccoon/optim/tpe.py sha256=cw9Xpd8JQVx_hCg2b4wbt75l3FRKkug42S-PrP1E5zg 5866
raccoon/utils/__init__.py sha256=Ff7_O-I4LxB_oQvEM8O4Z4JNnoZUqZgULjFtvBL1KvQ 112
raccoon/utils/classes.py sha256=xluy0RhKw31WU8gpjCJI2lI8glPcFbMaioxvbHdv9X0 1746
raccoon/utils/functions.py sha256=9IYmbKKue1BTOnqNovYffcv1-mq7xqxk9ATve6M2NZE 18263
raccoon/utils/option.py sha256=_hZlvMnU4A-UqCDskSby704krC85yY1AEqBjd_WR6Cs 222
raccoon/utils/plots.py sha256=msJqD4USi7UR9dSoi-VQU-SN8PYHBEw1BSHQhSI8_9c 10020
raccoon/utils/trees.py sha256=qtGLGx4iLudzyc4W_H7ddzbQY0ZrFKj8DhD764pI0wo 1771
raccoon_cluster-0.5.1.dist-info/LICENSE sha256=p0MJ6z5whBKgPxdmGzCCZoLaANDt6sENf6mFtR6vJYw 32456
raccoon_cluster-0.5.1.dist-info/METADATA sha256=XYHkhVbPq3ZqvNq9EG7Zm_59FM20rAUZjYcYN6-0xt8 6206
raccoon_cluster-0.5.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
raccoon_cluster-0.5.1.dist-info/top_level.txt sha256=xAdi-Fe0RQ3dGG39mDqBZ0JZ1dplfC2VYeo_cPGs__k 8
raccoon_cluster-0.5.1.dist-info/RECORD — —

top_level.txt

raccoon