Wheelodex » Projects » honcaml

honcaml

View on PyPI — Reverse Dependencies (0)

0.2.1 honcaml-0.2.1-py3-none-any.whl

Wheel Details

Project: honcaml
Version: 0.2.1
Filename: honcaml-0.2.1-py3-none-any.whl
Download: [link]
Size: 167411
MD5: aaf68164eef63a6a678728b29bad630c
SHA256: 815d4271d36c2cee38a6e71e3771b3001145cc9830b233b999d6122361ef141e
Uploaded: 2024-03-11 12:43:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: honcaml
Version: 0.2.1
Summary: Holistic and No Code Auto Machine Learning
Author-Email: Joan Erráez <joan.erraez[at]eurecat.org>, Xavier de Juan <xavier.dejuan[at]eurecat.org>, Jordi Casals <jordi.casalsg[at]eurecat.org>, Marina Rosell <marina.rosellg[at]eurecat.org>, Cristina Soler <cristina.soler[at]eurecat.org>, Cirus Iniesta <cirus.iniesta[at]eurecat.org>, Luca Piras <luca.piras[at]eurecat.org>
Maintainer-Email: Applied Machine Learning <aml[at]eurecat.org>
Project-Url: Homepage, https://github.com/Data-Science-Eurecat/HoNCAML
License: BSD License Copyright (c) 2022, Eurecat Centre Tecnològic de Catalunya All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Eurecat nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Requires-Dist: joblib
Requires-Dist: openpyxl
Requires-Dist: optuna
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: pyyaml
Requires-Dist: ray (==2.0.0)
Requires-Dist: ray[tune]
Requires-Dist: scikit-learn
Requires-Dist: streamlit (==1.29)
Requires-Dist: torch (==2.0.1)
Requires-Dist: flake8; extra == "check"
Requires-Dist: sphinx; extra == "document"
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Provides-Extra: check
Provides-Extra: document
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5323 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
honcaml/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/__main__.py sha256=TEwPjndwuchs7_UTtwSLOtLngLbzDBUTt7VGNdLjSmk 2634
honcaml/benchmark/__init__.py sha256=N6JDHeyGordSZA_BJoO0ZcxC5Is-PjElqSCdACxDfqo 29
honcaml/benchmark/base.py sha256=wLg6NebZaf6JaXekGvc968NC1s25oC1JRK-Re5YQdGk 4641
honcaml/benchmark/sklearn.py sha256=w4-GNCAiKMNh_NPnfgTf-uhKM-jSL-BtOoqGN6B2eNc 1223
honcaml/benchmark/torch.py sha256=k_Te8NjqwUkHeuGqOwzJZ7CVAkBgBTxfKDtbAQ-teyM 6739
honcaml/benchmark/trainable.py sha256=1Bb5BvzxSjAq-qwyhX8_gISxMNx0cdvQH1BGUuXwJh4 5380
honcaml/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/config/default_params.py sha256=ugJdUAq76UKTgQbjpTKo3KgvH2dVCgdlnUHpSFNZfa8 794
honcaml/config/user.py sha256=qGuo8_MPPEpOiDMLAfeAij7UZq0gfVdo4dm5Evzb8gg 768
honcaml/config/defaults/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/config/defaults/benchmark_step.py sha256=s-4ZdMlf45BkoCU6qHVZYBePJJzQCauMSF5ftHwyeGA 1122
honcaml/config/defaults/data_step.py sha256=ljp99uCUNCmyCg_f4APcNcm2H5JAb7k7cTJq1CQc_RY 379
honcaml/config/defaults/model_step.py sha256=DAHCHP6pkXqt2fI9KmYm3pVP-eeXtNpiJjyvzxNxn3E 1458
honcaml/config/defaults/search_spaces.py sha256=RRZMlZNolkQ3nroB84aKSel12etUb1F_7GLqMONdqtk 5357
honcaml/config/defaults/step_rules.py sha256=vV6IISa5-H6tamuIdBwhZDueFqTOlCFu063pXdsazNs 1289
honcaml/config/defaults/tuner.py sha256=wMmihcZ_o0L6shTroSKalhCXHWUZ9RtakvP5NaA265Y 615
honcaml/config/examples/data/classification_test.csv sha256=8BnPBuWeIaV6D7paQV1-xgy8HOE3GIkrJs7NFDDNOEU 12733
honcaml/config/examples/data/classification_train.csv sha256=X69ft-IliTt_jAhLJjCZWW1xSE9GQs6Y_CuaX6JIeZ0 31551
honcaml/config/examples/data/regression_test.csv sha256=nm9wW_HQnDFeKwGmVyKD_XR3jbAP2arPUQBQMoU2Ay0 8754
honcaml/config/examples/data/regression_train.csv sha256=trw3BveWBrKIpDOiwfNsyq9jeFUzIyJcXFoXqbP3Skg 96474
honcaml/config/examples/files/classification_benchmark.yaml sha256=Hqpms-hRl_9Fd8Aep3X4bsQ5Xxt1i2guhDWY-3_mkIk 2994
honcaml/config/examples/files/classification_predict_sklearn.yaml sha256=vtZvKTre7g3aUQRO-goQgfmgU8qrCuESODuCYuQJR1M 299
honcaml/config/examples/files/classification_predict_torch.yaml sha256=5FtfuAfDPeaF87ELAjIX5ZWIxsQfy827u_Kr74ttrZM 386
honcaml/config/examples/files/classification_train_sklearn.yaml sha256=JKEhM_ssspXovaz_FC69efOdP5LaJwF6MkIxeiqj-DQ 588
honcaml/config/examples/files/classification_train_torch.yaml sha256=N_LK4GSTrqFJB7vQa0xxk5rqvS_W6E6tj_glvCljp2o 989
honcaml/config/examples/files/regression_benchmark.yaml sha256=T2vdKfIYRWZYOBmU0tQC0OAjHBmD2QU0iFq5LRvsw8Y 2933
honcaml/config/examples/files/regression_predict_sklearn.yaml sha256=Ysc4Hrt8tb2en2qcFCxe-b00Mg0lG7f1O1pRaMj5yuE 1106
honcaml/config/examples/files/regression_predict_torch.yaml sha256=P05-dF2tKZSfKnNj7f5sw9UiKIQ8YP6xPZArQnowde4 1204
honcaml/config/examples/files/regression_train_sklearn.yaml sha256=eYJWX8vZ2DDhg2hKzZes1-qyYt6kT8vdfIjGhE4BkA8 1441
honcaml/config/examples/files/regression_train_torch.yaml sha256=qt9XMxRR1i3Ts2ujE6086MNFXOOCcEfK6KRn5vhX_gg 1748
honcaml/config/templates/advanced_benchmark.yaml sha256=D16lt5AqJWHIeuyewphvNu3McnOAevwnbWnnSAhNg9I 4580
honcaml/config/templates/advanced_predict.yaml sha256=hyHEupJWQ5-ttJnIQMk8tDyjxdXbTFUtp5KEVxPu760 1501
honcaml/config/templates/advanced_train.yaml sha256=5Hc55KGC1RZtvwoFOY1HSw3JcjjiIWzZ5FHtaTMop0Q 3043
honcaml/config/templates/basic_benchmark.yaml sha256=KRELF5H5vdQkixvxbfE_f3hLfcr3ohWrDLqLblx3UeU 553
honcaml/config/templates/basic_predict.yaml sha256=VH5ZljZ7Zhkat25EY0HtxAGy7CBEGq9MKH5MeoC1Szs 626
honcaml/config/templates/basic_train.yaml sha256=PP927_D40ddJ36lQnNboo9pmRKfgItG2rAG2VEttr2c 646
honcaml/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/data/base.py sha256=FZXl9DsrzA24vXT7ms44-jPG6uInWtL3hRaE2bf7mUY 1560
honcaml/data/extract.py sha256=TqIXtVtGEhlvtynk2QYhk5SneY61HKiLrJ2v5sXmI68 1578
honcaml/data/load.py sha256=FSBSugxj7mHkHErDDeKxcResrBCzQbUtN84DHhrtVXc 2054
honcaml/data/normalization.py sha256=5tt2_35tZfDKGvs42wRKV-fLGE8GAL4kgWhmvW2cxFg 3987
honcaml/data/tabular.py sha256=ziFI-aO6SWxUPKlUPzsfnZedhxyXszUHv2iazZxBo3Y 5398
honcaml/data/transform.py sha256=7OINGDMvaLOpMaIzfmwWgMTbvy8wIINp4PaqI11A0dw 5674
honcaml/exceptions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/exceptions/benchmark.py sha256=9d5VQMMCVuOxWYrbhxCkl-qVYAM37bBNM5rp81NT10Q 826
honcaml/exceptions/data.py sha256=ZJ_FR68x2aEAgvK9F9YaltzqiUp8TZbm-4oOsFaxMuQ 705
honcaml/exceptions/model.py sha256=xhvQWkQ8_PvC-PUqSlVJ_TpFmlzMARlmQQL3vKcoUR8 542
honcaml/exceptions/pipeline.py sha256=PsJXwlz8pzmAvoqsva5s6E7VQ3JbwA_d5K-JlRPGILE 382
honcaml/exceptions/step.py sha256=e7U-U1bzPNCtqjKHCM6VdMN663yQe6ffaGI6BH-Slvs 403
honcaml/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/models/base.py sha256=HnJYil-VGV4WhAbdrv6UIvIexYmBP1dq4eHvF27Domg 4878
honcaml/models/evaluate.py sha256=AwFQhDbh0_DyJ7K5gHkWEDYH4YEzqPZX_mZAM2aJOQ8 9574
honcaml/models/general.py sha256=K7gAckFDRtvzqsL9uhJQEyHwjRA_wKA19O6JvdkN0oA 1352
honcaml/models/sklearn_model.py sha256=U0Mbi9yiLx48Fd-7YTwc9NtFC29-1RxSt6CUY53LSs4 4814
honcaml/models/torch_model.py sha256=WSj9rkblhZ_M0XhSR02iIS4Ns4T22uiiNDcBhnWBCCY 16806
honcaml/steps/__init__.py sha256=mvxBT37T99hXA-chB6rVX_mNALuVq0OIqJHBOSl4yds 43
honcaml/steps/base.py sha256=HVrlVlQSlAD_fk42eZf4mG4xZKfQZ_NZgyzuxxjsIWk 6288
honcaml/steps/benchmark.py sha256=PX6c3pBjM1ZuKV8foqtq0uHbhT3m1EbeOGmYGYwAsWI 17917
honcaml/steps/data.py sha256=84o2rv0qixHSkq1UFEB2bzqkff2MsmydbS19cvId2FY 3157
honcaml/steps/model.py sha256=SiNP-cNy8_nVOg2-LXxNIlSnFXAGN116ULWx7UpOW_I 7129
honcaml/tests/utils.py sha256=CJdMv15-ERi0J3jO3jzMr8A4A6z-OwJveBkfjceSGCU 2307
honcaml/tests/benchmark/test_base.py sha256=k_Mjkc2NYREMNgzRa48gbAY6HRQ_dGTxtUysfKx0QwM 3534
honcaml/tests/benchmark/test_sklearn.py sha256=AG6_AGm-Wb7AYe5CKJJVfPft5aIvyXDV0T33sgSH7jk 758
honcaml/tests/benchmark/test_torch.py sha256=YW4PREMHYzndL80QbllTPrBwK2_JRnERrp3uGhIeYrA 8112
honcaml/tests/benchmark/test_trainable.py sha256=_HRUEMsXnBB20SYxZS4QMJOPf689ojQ9lyVYm8zW3eI 4244
honcaml/tests/data/test_extract.py sha256=adKuGM0VXxzmDXiXsGU6YWGbeCXXDJCGmR25m5fNRqA 2153
honcaml/tests/data/test_load.py sha256=myhejUsNnMWJeeHzwXz7jDNnAvVuu4penmoS3iGNBT0 2333
honcaml/tests/data/test_normalization.py sha256=396T6IrFH1JLSEF9kLOkrt53BleApgr51hQciuWeUIo 4884
honcaml/tests/data/test_tabular.py sha256=GR-ew8ipjMenmdgR_ICKiXg8WOoDfC0rU6LuUk-uR7g 8704
honcaml/tests/data/test_transform.py sha256=B2wR4BkZx0_CBNsMU4V3g4uUQ7VsxuQgScc9KyclF50 11267
honcaml/tests/models/test_evaluate.py sha256=OIMu-eQ-tZSa7ixT8uVDtKdQL9TNM-vRC44zoto8sVE 2746
honcaml/tests/models/test_general.py sha256=TOO85t3c-YIi1Lu90ThsHXcIGAjSN_ghubJftOkCjnc 1103
honcaml/tests/models/test_sklearn_model.py sha256=atpS3_qLMnApuP_2FwmODqDHpzF8zLgXJQtnCb-FYlE 9086
honcaml/tests/models/test_torch_model.py sha256=VnzUbVgpLQIpS20UzUZhAwpZt1NLdvNSmUTxV9Xd7J4 8360
honcaml/tests/steps/test_benchmark.py sha256=-74IRzb8vkmEIJxh7FxHSF7GMWGyMpH-Qvor5V60MEE 16393
honcaml/tests/steps/test_data.py sha256=LKi6dL8DlPyHqbYs5d_sYn1fhrJgGuU46FdZ-Z7uYBg 6268
honcaml/tests/steps/test_model.py sha256=MQg5VGG-faCdP9zvMaH9ATjdYoUE9S7HzrBzl8ZfNlw 12568
honcaml/tests/tools/test_execution.py sha256=wyFPWf-ysBJbpl_ErwJMwZX3D4mj9ttvnaBPPvrWU1s 1121
honcaml/tests/tools/test_logger_option.py sha256=Sjq_C0C9Mi5iOabbMtzUrfiaPmvWuP2eIh2TQmRu_qA 1170
honcaml/tests/tools/test_pipeline.py sha256=EbrIUWfeKqXUcW_I-3GM2cuObhh_eIKSwMHA1skN43U 1499
honcaml/tests/tools/test_utils.py sha256=91P8QnYKU2xDNXze3qg2YWFoiZigwy_kaBWPL8o-hqE 7449
honcaml/tools/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
honcaml/tools/custom_typing.py sha256=IEhGmbllFlETTjFQu_lBjvTOh9Ey-cIx516qLbmsRPk 713
honcaml/tools/execution.py sha256=ARxQ6Qy_Ph3s0JRCIa5Yin86dWRNrusDY6mV8U3GzLI 1770
honcaml/tools/logger_option.py sha256=liV2RKuspPcMWrkDrNPgH2Cq6H-7si5Ihgih-HIPUAs 852
honcaml/tools/pipeline.py sha256=BYgFmLJjGrchZpqryJlLP-CDD98Hm1L7t9smNWqMszM 3115
honcaml/tools/startup.py sha256=wuP6uxXboqzfnkhsbfrBkwCkbf18AS5LmbV9i_u-wrc 1224
honcaml/tools/utils.py sha256=eDpqQfkX-Ng0pBI_AdaMzDmSDIaYTJcVeViIFrCzANY 6752
honcaml/visualization/app_execution.py sha256=Vt6tLcpYmDcWyrkpiAhCkis0t2qfFU6Sc-o_hD0K3jc 3268
honcaml/visualization/constants.py sha256=YYVIjQnf_Nv7_lKVBcwteyp9h9ULMPidpPIfTop8xoE 3508
honcaml/visualization/defaults.py sha256=1EV6rrD4rISZ1Nj2cIjK3EDqc_AyWTQIeJMA36RsamM 10438
honcaml/visualization/define_config_file.py sha256=2yXzhjpd4w2_R6PoKHsW44DfNduo4Sfr2Dg5zSbPOnE 4248
honcaml/visualization/extract.py sha256=tLU57lyRwQp6_pKZale3nbfUsQYlRaUek10101jZVjg 6815
honcaml/visualization/gui.py sha256=VezHxrZ-FdLv9dGDCmeJFYcwX7OAuoi6qZ-7bx_aE3U 4599
honcaml/visualization/load.py sha256=LzJ7-e1r3eYkzB7R03Gpr9VYzRpJLLP9L_Zkn0c2_Ek 4473
honcaml/visualization/manual_configs.py sha256=YdSDRtNLw9eji7XhZOaVm8VfRtXZ8ET1Za9QyMN7tuk 28988
honcaml/visualization/utils.py sha256=lVWKff5N6BO9F3xrPEhxC-wNZThaUlDV-3DeGe3ccM4 4704
honcaml/visualization/visualization.py sha256=LENJnAJ-VaFv6FR_y1ksaeT_57S3OMcbtd_eGyidRyM 6253
honcaml-0.2.1.dist-info/LICENSE sha256=UpG8z9SO4va1-Gs46rDqdOVlsE4Al3bsf_ukOq4la7k 1517
honcaml-0.2.1.dist-info/METADATA sha256=tciL1osoUxBU4JFkVeca4osPtPnusWhyMBq1I5BTnSM 9106
honcaml-0.2.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
honcaml-0.2.1.dist-info/entry_points.txt sha256=hdwiEBaY6TaqC0vfdlmzQ3fckI0hjHaB7DFxBk-sHlM 50
honcaml-0.2.1.dist-info/top_level.txt sha256=XdPYEi_z1BYLqiqvtly7aotAnwemmBoAWwvh6zl5yAw 8
honcaml-0.2.1.dist-info/RECORD — —

top_level.txt

honcaml

entry_points.txt

[console_scripts]
honcaml = honcaml.__main__:main