Wheelodex » Projects » hyperbox-brain

hyperbox-brain

View on PyPI — Reverse Dependencies (0)

0.1.5 hyperbox_brain-0.1.5-py3-none-any.whl

Wheel Details

Project: hyperbox-brain
Version: 0.1.5
Filename: hyperbox_brain-0.1.5-py3-none-any.whl
Download: [link]
Size: 251618
MD5: 11d1317e9c035082348aeff5e5df7c48
SHA256: 846dfb6e743da6aa11e50e895eaa20aa92b21b38abfb716aecdcebfc110a3be9
Uploaded: 2022-06-29 04:32:24 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: hyperbox-brain
Version: 0.1.5
Summary: A scikit-learn compatible hyperbox-based machine learning library in Python
Maintainer: Thanh Tung KHUAT
Maintainer-Email: thanhtung09t2[at]gmail.com
Home-Page: https://uts-caslab.github.io/hyperbox-brain/
Download-Url: https://pypi.org/project/hyperbox-brain/#files
Project-Url: Bug Tracker, https://github.com/UTS-CASLab/hyperbox-brain/issues
Project-Url: Documentation, https://hyperbox-brain.readthedocs.io/en/stable/
Project-Url: Source Code, https://github.com/UTS-CASLab/hyperbox-brain
License: GPLv3
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
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: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.14.6)
Requires-Dist: scipy (>=1.1.0)
Requires-Dist: joblib (>=0.11)
Requires-Dist: threadpoolctl (>=2.0.0)
Requires-Dist: scikit-learn (>=0.24.0)
Requires-Dist: matplotlib (>=2.2.3)
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: plotly (>=4.10.0)
Requires-Dist: numpy (>=1.14.6); extra == "docs"
Requires-Dist: scipy (>=1.1.0); extra == "docs"
Requires-Dist: joblib (>=0.11); extra == "docs"
Requires-Dist: threadpoolctl (>=2.0.0); extra == "docs"
Requires-Dist: scikit-learn (>=0.24.0); extra == "docs"
Requires-Dist: matplotlib (>=2.2.3); extra == "docs"
Requires-Dist: pandas (>=0.25.0); extra == "docs"
Requires-Dist: plotly (>=4.10.0); extra == "docs"
Requires-Dist: sphinx (>=4.0.1); extra == "docs"
Requires-Dist: sphinx-gallery (>=0.7.0); extra == "docs"
Requires-Dist: numpydoc (>=1.0.0); extra == "docs"
Requires-Dist: Pillow (>=7.1.2); extra == "docs"
Requires-Dist: sphinx-prompt (>=1.3.0); extra == "docs"
Requires-Dist: sphinxext-opengraph (>=0.4.2); extra == "docs"
Requires-Dist: sphinx-autodocgen (>=1.3); extra == "docs"
Requires-Dist: scikit-learn (>=0.24.0); extra == "examples"
Requires-Dist: matplotlib (>=2.2.3); extra == "examples"
Requires-Dist: pandas (>=0.25.0); extra == "examples"
Requires-Dist: plotly (>=4.10.0); extra == "examples"
Requires-Dist: scikit-learn (>=0.24.0); extra == "tests"
Requires-Dist: matplotlib (>=2.2.3); extra == "tests"
Requires-Dist: pandas (>=0.25.0); extra == "tests"
Requires-Dist: pytest (>=5.0.1); extra == "tests"
Requires-Dist: pytest-cov (>=2.9.0); extra == "tests"
Requires-Dist: flake8 (>=3.8.2); extra == "tests"
Requires-Dist: black (>=22.3.0); extra == "tests"
Requires-Dist: mypy (>=0.770); extra == "tests"
Requires-Dist: pyamg (>=4.0.0); extra == "tests"
Provides-Extra: docs
Provides-Extra: examples
Provides-Extra: tests
Description-Content-Type: text/x-rst
License-File: LICENSE
[Description omitted; length: 27993 characters]

WHEEL

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

RECORD

Path Digest Size
hbbrain/__init__.py sha256=C_m3-2csIzE4MukKqN5BCvJR551uW2QIxZ92O5oBYLg 3456
hbbrain/_check_version.py sha256=Oehn4opMGa3hQEo59FxgQ9MJX3JgEQF7hiy0EWZgru8 16479
hbbrain/_min_dependencies.py sha256=OCbKEGihmWroLYDKgU_EYz_V3EYwyPERoBtLSt7zqwc 2647
hbbrain/_structures.py sha256=5aVTpE6sJg04Urd4QOgpfxN6vv6NR5jVtdezPTV5ksQ 3012
hbbrain/constants.py sha256=rVteoJ7EJpe7U9oaiC5rcbAAIYKGNbyOFXgwCbydsUE 547
hbbrain/datasets.py sha256=C-0gB-HyZQxXxDEzMpoRoTLvKSMNCsCclt-olovtxyo 843
hbbrain/setup.py sha256=oPmCo3KgspjrywpKyedCo3fLm53MaF7JF-WViRcN2hM 1144
hbbrain/base/__init__.py sha256=7wBfZ2PYtVC9_u1k5anMR2spcemtrJH2JipAHU64o-0 1169
hbbrain/base/base_ensemble.py sha256=eLarwfFKmO1A0x2XAwS7n9NxMdTKALazNkBQgLJ6mwA 7962
hbbrain/base/base_estimator.py sha256=JjqGp-pl8pAr7LGPHNM7zyxO8qsRDysxtCpkAkxFdFU 12530
hbbrain/base/base_fmnn_estimator.py sha256=tbyGbXC7M35uLpK03BH-MkhuqgGPD0G_9zJjHaGMBrc 17199
hbbrain/base/base_gfmm_estimator.py sha256=qSbuaak5YCd0efA4Ucn3tMGIo14bC2DIUZ7DLQWHAu8 21179
hbbrain/mixed_data/__init__.py sha256=Exjk0kFQGqyRKmSxJfX0gc9hqnJ2eqqIxeeZUykWhtE 1248
hbbrain/mixed_data/eiol_gfmm.py sha256=FdxYwKf8yQ-A1qaFjBva2GDZnCbyvZE32nGRBRAtZjs 81397
hbbrain/mixed_data/freq_cat_onln_gfmm.py sha256=69IDa1Lv-b_RAkDi2lCWPFBHeQaO4ViLa1TNqLdjzfs 79772
hbbrain/mixed_data/onehot_onln_gfmm.py sha256=TDScZU7soTWFaJrK48rtK5iUiNMy-pC5S7bWqz0EbGo 66535
hbbrain/numerical_data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
hbbrain/numerical_data/setup.py sha256=nbzFDqdPssV44XMX76AKlNOJacGH9d7tm-wkYYMKn9c 591
hbbrain/numerical_data/batch_learner/__init__.py sha256=agLiQkhZCq5JOim6qZ2gnIuldcPAuW2y-DMm507vkck 529
hbbrain/numerical_data/batch_learner/accel_agglo_gfmm.py sha256=1ypCerQDecyHpFDW4gNfphhoa0SJNSTL8IiMGY861O8 39821
hbbrain/numerical_data/batch_learner/agglo_gfmm.py sha256=cYyUm_xkmpEKeKjICI1qG5lnqj_An69PvMRlryViBsw 40944
hbbrain/numerical_data/ensemble_learner/__init__.py sha256=Oul4pkfDzU6d-LYoy30sxwVBngFSYu3xpMMYxZmqDkc 1184
hbbrain/numerical_data/ensemble_learner/base_bagging.py sha256=FLNTW8YLCEUTROJBGS3uiOEkDBq6KiXZ82AFyhR-74s 8832
hbbrain/numerical_data/ensemble_learner/base_cross_val_bagging.py sha256=_o0GC-LLqxmu1ZulfsFbjoGge5uZGcJNaTiV6iE0Yxc 9606
hbbrain/numerical_data/ensemble_learner/cross_val_random_hyperboxes.py sha256=6qvkhO783B_eT4_I7hiRkukDM0bqKZlPLYBZ9ONRai4 29569
hbbrain/numerical_data/ensemble_learner/decision_comb_bagging.py sha256=uMi_jUvihuwN7dWKIAn_Jl1y5dyEihLv4kBCrS9m7zg 16057
hbbrain/numerical_data/ensemble_learner/decision_comb_cross_val_bagging.py sha256=xey4Gikm8XTxzzPHsbLKaafvq1Bas_YUMiaXOdbKis8 19282
hbbrain/numerical_data/ensemble_learner/model_comb_bagging.py sha256=qBKQCUPX-1wuQVa3nNAQWfrGfTTlXY3S2hzyaqjwuRY 26524
hbbrain/numerical_data/ensemble_learner/model_comb_cross_val_bagging.py sha256=ZK_yK_gxOBx0OBo9cqKSzyZXMsBz9dSlYegnKpavNqE 29692
hbbrain/numerical_data/ensemble_learner/random_hyperboxes.py sha256=xhypt0DEjzdk7mya9nE674arj6I2V9j-ZYaEzkMjg7A 26300
hbbrain/numerical_data/incremental_learner/__init__.py sha256=RI5EL2tZsLWgGIYPLhUf5HWNmwQi_8-KgIdUz2YVmmQ 991
hbbrain/numerical_data/incremental_learner/efmnn.py sha256=gqaQe2tY7rFTLSfrFGv2Zn_q4033VIOyIthHwtDB0SM 17388
hbbrain/numerical_data/incremental_learner/fmnn.py sha256=fvCpQ1OqEgi7ooqLgt_OwqA-wVlDxku7qU97wAfrT5k 17053
hbbrain/numerical_data/incremental_learner/inf_onln_gfmm.py sha256=slduV_uyoJsL2hngNiFbKCEtmDD5mz_C98h79EwxF68 42034
hbbrain/numerical_data/incremental_learner/iol_gfmm.py sha256=uj-wR5tg0YGKxj6EHveJ1K2mG-iajFvWO1QIeCx9X1Q 42718
hbbrain/numerical_data/incremental_learner/knefmnn.py sha256=PY02H3I7p1zT3awaBupT9n7INpWXdbR4gXGUjDAhsb4 19098
hbbrain/numerical_data/incremental_learner/onln_gfmm.py sha256=ngJ3MXUXXXjpZ3R5fLYyf3yn2_1zn8MyLCanB6jegLU 36139
hbbrain/numerical_data/incremental_learner/rfmnn.py sha256=EQfFEtrKTfDl1oydU2o1TKKtJOAsiR1akXP3efqfpcc 29809
hbbrain/numerical_data/multigranular_learner/__init__.py sha256=pdIIaFlap93QuwRvN3blPMLmY0kWKnxYyRB_GV2Uka4 454
hbbrain/numerical_data/multigranular_learner/base_granular_learner.py sha256=yLriSaVvMzdSPrTjj8-3KLkV8Ub0wngOhsZUgfm7xX4 454
hbbrain/numerical_data/multigranular_learner/multi_resolution_gfmm.py sha256=exuZSy0xMfSGfcs5wVNjEJSb5h_LzhDtn3c98xVqBsI 90785
hbbrain/tests/__init__.py sha256=UH0_jOuwKmq9uXzXCW7xeEfZ2WiN8yZKEdU5a-vP9-k 177
hbbrain/tests/test_adjust_hyperbox.py sha256=9AtQ10L_PEQ_7v9kwpFI7gvyKf33u2VjbaqNjcd_iPo 43263
hbbrain/tests/test_dist_metrics.py sha256=7BS57OXcKSF85ZAB62PB11sMQOnVG9TkXBXOTVa54Uc 1463
hbbrain/tests/test_init.py sha256=Kt_31kN0B24cH5teS6HJ-_NUkLAQsH--k3iG6X2-QvE 2077
hbbrain/tests/test_matrix_transformation.py sha256=kOLIm4Lj8N7SXCi0BrSAr4VhNBRvtyU4sq6NoNa96M0 3349
hbbrain/tests/test_membership_calc.py sha256=zOw0aeccBnWdX87Cblz7Kak-JCJJ9NzjPTBVc054UaI 8492
hbbrain/tests/test_model_storage.py sha256=JkhFaZmhpk9_rRWEJ-QUeZmWf62Wxz-ePlhoTQOcqIE 1897
hbbrain/utils/__init__.py sha256=FnnjxE7mlYbZtxKsO9_yzJdBSR02sJtYZKsDeLcEj64 3349
hbbrain/utils/_show_versions.py sha256=WVZbmSwfWRblH2bPQ6iODtRKf8lSzl8--M5NCg-EgfI 1868
hbbrain/utils/adjust_hyperbox.py sha256=RD8O1XZ1YYmc5XDgjt2agAWHAKSByLbCtRn7LLgugss 57222
hbbrain/utils/data_editing.py sha256=dt_5KCCIu4095yfMSKipLxdfEe1iDsLK20Vjd539doI 11816
hbbrain/utils/dist_metrics.py sha256=6UyRG7IaKxfJHYfxMLOdVANDLpbz-MAnJr9VpfLsrz8 8850
hbbrain/utils/drawing_func.py sha256=_R0djcsIZR1GmlBEIxmVK_FDd7hf-PJ2kv7BuwroPJY 10743
hbbrain/utils/matrix_transformation.py sha256=Ko7s8J3H5H_BCSyEzSB3Ig8G2iHMQ8cOG38CxuFUIVs 3204
hbbrain/utils/membership_calc.py sha256=9FWHFFJK-BbAt-ZUo2F41nncqLdCTHLzzUJgwzFFVOE 52020
hbbrain/utils/model_storage.py sha256=OnSrVrxw37LxINnUxvgm7kTM673DmfB5YE3v1z4D8zc 1604
hyperbox_brain-0.1.5.dist-info/LICENSE sha256=gxpWVHMxeucyBLIEvZsXuLIPRyy5YgR9P8rescJrlp4 35863
hyperbox_brain-0.1.5.dist-info/METADATA sha256=DrUfUXR3pCoruy40jGI1FPbPBVuvRVecFnkp2alKaTc 31366
hyperbox_brain-0.1.5.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
hyperbox_brain-0.1.5.dist-info/top_level.txt sha256=gBZRDmdsahHBiAW75LlWqQIoKgxQy9LkXjqCnWa5I0w 8
hyperbox_brain-0.1.5.dist-info/RECORD — —

top_level.txt

hbbrain