Wheelodex » Projects » divik » divik-3.2.3-cp37-cp37m-macosx_12_0_x86_64.whl

divik

View on PyPI — Reverse Dependencies (0)

3.2.3 divik-3.2.3-cp39-cp39-win_amd64.whl
divik-3.2.3-cp39-cp39-manylinux_2_35_x86_64.whl
divik-3.2.3-cp39-cp39-manylinux_2_17_aarch64.whl
divik-3.2.3-cp39-cp39-macosx_12_0_x86_64.whl
divik-3.2.3-cp38-cp38-win_amd64.whl
divik-3.2.3-cp38-cp38-manylinux_2_35_x86_64.whl
divik-3.2.3-cp38-cp38-manylinux_2_17_aarch64.whl
divik-3.2.3-cp38-cp38-macosx_12_0_x86_64.whl
divik-3.2.3-cp37-cp37m-win_amd64.whl
divik-3.2.3-cp37-cp37m-manylinux_2_35_x86_64.whl
divik-3.2.3-cp37-cp37m-macosx_12_0_x86_64.whl

Wheel Details

Project: divik
Version: 3.2.3
Filename: divik-3.2.3-cp37-cp37m-macosx_12_0_x86_64.whl
Download: [link]
Size: 110164
MD5: 2d0e5080c4438e2ec16048e5de8efd81
SHA256: 5aba2414cf42b0dce78e48f1ead80165df83e4f068497f0286a1fb9fe9d8d509
Uploaded: 2023-08-23 09:35:55 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: divik
Version: 3.2.3
Summary: Divisive iK-means algorithm implementation
Author: Grzegorz Mrukwa
Author-Email: g.mrukwa[at]gmail.com
Home-Page: https://github.com/gmrukwa/divik
Project-Url: Documentation, https://divik.readthedocs.io/
Project-Url: Repository, https://github.com/gmrukwa/divik
License: Apache-2.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.7.1,<4.0
Requires-Dist: dask-distance (<0.3.0,>=0.2.0)
Requires-Dist: dask[dataframe] (>=2.14.0)
Requires-Dist: gin-config (<0.6.0,>=0.5.0); extra == "gin" or extra == "all"
Requires-Dist: h5py (>=2.8.0)
Requires-Dist: importlib-metadata (<7.0,>=6.0); python_version < "3.8"
Requires-Dist: joblib (<2.0.0,>=1.0.0)
Requires-Dist: kneed (>=0.5.1)
Requires-Dist: matplotlib (<4.0.0,>=3.3.3)
Requires-Dist: numpy (>=0.12.1)
Requires-Dist: pandas (>=0.20.3)
Requires-Dist: polyaxon (<2.0.0,>=1.5.0); extra == "polyaxon" or extra == "all"
Requires-Dist: scikit-image (>=0.14.1)
Requires-Dist: scikit-learn (>=0.19.0)
Requires-Dist: scipy (>=0.19.1)
Requires-Dist: tqdm (>=4.11.2)
Provides-Extra: all
Provides-Extra: gin
Provides-Extra: polyaxon
Description-Content-Type: text/markdown
[Description omitted; length: 5406 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.6.1
Root-Is-Purelib: false
Tag: cp37-cp37m-macosx_12_0_x86_64

RECORD

Path Digest Size
divik/__init__.py sha256=Vtvq-qhpFTlQCGwbwwATPgfApObkZ-9ihAfYFnL8XuY 582
divik/_cli/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
divik/_cli/fit_clusters.gin sha256=kOuz4HhzpdqCV_UdLvbBGecujoXHcUEx-bm_LBu94HQ 1233
divik/_cli/fit_clusters.py sha256=xKqgM337k6fYqTfpH-2Zrue7UT5CM3ljsf-oAHhc5yA 1213
divik/_matlab_legacy.py sha256=m50lTpsn_DxSkFsE5bVJyVJRJddcCA8qsFmXCEDCv-w 1279
divik/_summary.py sha256=Hw4aG6XJcn_O1MfjhgKJxVMWqEXNNjiQct5JfcdfYig 5382
divik/cluster/__init__.py sha256=eKFTQZpqDYIaDpXhHajceiZxWi2SkHgW5pyReMf-eCU 242
divik/cluster/_divik/__init__.py sha256=LrNtaMcfzl2ZfH4iFYpqizxZ4OA7_ropHtiCMm4wxIQ 67
divik/cluster/_divik/_backend.py sha256=aRXStmoCYdi0umojCVhkhKba_W1r6cTPooUbFpWPR1M 3057
divik/cluster/_divik/_report.py sha256=afxR5mvCgdT_VI7NVKY3wqAm82r7ojRGyyz3KDadfz8 2580
divik/cluster/_divik/_sklearn.py sha256=bihEsfMlBR71M_6Qfg6IUmbKxifRksoQReuCA3mJsHM 17828
divik/cluster/_kmeans/__init__.py sha256=6Pw4Baj-sNVswbSV59bm64gOb1XsxRjU3jegs0DkbfY 175
divik/cluster/_kmeans/_core.py sha256=bedIZ9BoecX98rhEX8zcyEmKWIgATwbNAlV5aFaWlsM 13830
divik/cluster/_kmeans/_dunn.py sha256=wj-zFXVZQlJ8jdUqWn66LFJxPoXNu8h19Ud9xlIvV6w 8333
divik/cluster/_kmeans/_gap.py sha256=xKGjOfs2fO_iew9M9W-jgq_rI_uv1ByVb017mVJ8gWM 7355
divik/cluster/_kmeans/_initialization.py sha256=_fnAVHnhV8big_QXzna2h46gKcvyuliskwASxGmidWM 11205
divik/cluster/_two_step.py sha256=x-CZ2jECiQnVLMYfmBN0vFapTWKO-jWVMjF0a-a1Zvs 3236
divik/core/__init__.py sha256=pa2E1_LsiLug6-FGYc559KtE4HdTQKTO6YIXH2EZl5g 837
divik/core/_cache.py sha256=BpvDEI2gL3XdYez1yI7HU2dfmolJ7aE5YAOLHA2giDQ 1188
divik/core/_gin_compat.py sha256=ct7kQzc8hUs7tAF7JGXeaKAESBQ-Ama4KP8aFsq7bFU 1356
divik/core/_parallel.py sha256=A15f4_cERG42NjtURW7FNLv-DBOG6hP76jNd4t1kXzs 4918
divik/core/_seed.py sha256=fAf5OonNFOiP285nr26oh4gK3QQCjeQcjRm0Yr17aks 888
divik/core/_subsets.py sha256=9XGR0T41C05g5yYVCxM-fpJ7TtF0HOT9DHCJqXQi6LE 1876
divik/core/_types.py sha256=FqTCGNn25-HZ9rhuwURKbfjiL4D0KNh4O68frQHbUo8 759
divik/core/_utils.py sha256=rfJk-4ABcG3PSVj7Kb2N-EAtw7MD4nh87z87EKwbTM8 3107
divik/core/gin_sklearn_configurables.py sha256=pI7VeXCu4EI7br2VbyVBHYW0CscWWmNwYL266G4vXfc 13636
divik/core/io/__init__.py sha256=PYp-BniS-Grb0NU3_md-JsjEk3FusMl0Jv5DcC8wyDg 322
divik/core/io/_data_io.py sha256=w-igcLK2rmxDGoWAbHJquVXTzISQEJoaBiOOZlj6tGM 2886
divik/core/io/_model_io.py sha256=Ujun5nWbVRMN8ILUwd1pZr3Mc1lENfs3nUrhIlzuCIo 5217
divik/feature_extraction/__init__.py sha256=0OrmolAmiGt-GcKqZ38DOd3CEogvUm8wtnvf9gBl1nA 280
divik/feature_extraction/_histogram.py sha256=GNIp_9tYs_hZHaEIzrrST_iqu6kzdg_eYH3ZXDuLyvw 1457
divik/feature_extraction/_pca.py sha256=8-Yin6DRZLpmqnIcJtxdskjQh2dw11-EltSH_yPcpIk 5245
divik/feature_extraction/_spectral.py sha256=JvIyJbmsBmVEGfVkTEUVJqcLXHcAFwnSgb52wX4qE7A 5987
divik/feature_selection/__init__.py sha256=jQZHlMHwS3YHKvjitq4uWE6vgWKhh8vm7ck8SNpl8o4 771
divik/feature_selection/_exims/__init__.py sha256=jfK6Fkl92MJ82hGLV0LaiRWw4oNgcfenb1OtNynC4As 36
divik/feature_selection/_exims/_exims.py sha256=zXE-iKI8vD8db2gOh3ev7ks91ufd1lneAIZ91M6cYUw 2893
divik/feature_selection/_exims/_matlab_alike.py sha256=CnKICJXLkpb5Xxq-h3qilAdhe1GCLXdmbSDdhaM1dYM 1626
divik/feature_selection/_exims/_selection.py sha256=0FoSekD4u-FBJfHqFTclzl-oDBpec5UWv7gk6JtNcW0 1460
divik/feature_selection/_exims/_sklearn.py sha256=LzB_mf1rldpSeOzSsqhmc4Gh3PoHu1RrE1_fM5F7gQE 2077
divik/feature_selection/_exims/_structness.py sha256=Nfa9MhvlyG1wrwY5ajcE010YSR3F1OraKtuSKIOFZFk 3311
divik/feature_selection/_gmm_selector.py sha256=z-Ol1iY6LN1TLD1Ud38DxWXl6bCKf22VwG9WDUaSgPw 5774
divik/feature_selection/_outlier.py sha256=8_nVUAndUAZwxAax7-a8GJK3sm2ENklFQjuTDy3SaoE 6010
divik/feature_selection/_percentage_selector.py sha256=Fp0Sy_wTarg8Za-Gd7G1VDKQtO8lI2V57qDVlQcvva8 2677
divik/feature_selection/_specialized.py sha256=pENo32jBbHsSvhOSSKc-cw4IXss0XOsGIT2CGDn_adM 8215
divik/feature_selection/_stat_selector_mixin.py sha256=5nba_8282ITXAe32qT_MflBFd3yG-EIT1S4PhXxua8w 3542
divik/sampler/__init__.py sha256=Zns1qEtLei5Jrz1u4Ee1XPem87liKthSwFN3-mMdZ5k 361
divik/sampler/_core.py sha256=oRK_0X8zdXdbguYtm1Vym4IFN6vcKrbtapUfv2vDwdY 2853
divik/sampler/_stratified_sampler.py sha256=whLC2xWDTYkdqvlBizq-RQoFXYezDgtVYVFfjIheGik 3241
divik/sampler/_uniform_sampler.py sha256=OShHaq2npjQpQ-Nqbut3olryj5ethkYhIE7Z2JbOtkk 5638
divik/score/__init__.py sha256=GElu2WQL05GN61tkC5j0NoP5ZdJX3vcKsFKXLfSavNU 98
divik/score/_dunn.py sha256=OFKqCUc-7-LetwD8KYX_LHr9MMUq35xdAN13eEYX4ZM 4611
divik/score/_gap.py sha256=Tp6z1eeZ8Sx6M15DN1tAcvANeWMnLhInSxQqJMCakUM 2898
divik/score/_sampled_gap.py sha256=lDDd1vqV8t10Q3-6jjELFJfUMeQAdE-aGmbM2TlnAnQ 2182
gamred_native.cpython-37m-darwin.so sha256=YfXMSaK-UnOYuybR8502rL5vjf5iU0HiLPojtQM-eAw 113464
divik-3.2.3.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
divik-3.2.3.dist-info/METADATA sha256=PpKtm9zcYgtvDYTSX6DYjqWos6KoOO-fIkx94gsvXLA 7332
divik-3.2.3.dist-info/WHEEL sha256=c3jlzO-wyQnwiFtUdXk8WX2LPP6uDzxZ7EVm2h3XJ18 106
divik-3.2.3.dist-info/entry_points.txt sha256=bx04PMVdJu6vaDtYl1q-4JEeI1LlRTyQoQLZ2ZUA8Ts 61
divik-3.2.3.dist-info/RECORD — —

entry_points.txt

[console_scripts]
fit-clusters = divik._cli.fit_clusters:main