aisafe-xgboost

View on PyPIReverse Dependencies (0)

0.1.1 aisafe_xgboost-0.1.1-py3-none-any.whl

Wheel Details

Project: aisafe-xgboost
Version: 0.1.1
Filename: aisafe_xgboost-0.1.1-py3-none-any.whl
Download: [link]
Size: 176313
MD5: 651eb227f4748f81e57d8b9ecc790556
SHA256: e9b07e41d7c712dc62029beb0c8cccaeef7768a49859171b6b20280d2be23152
Uploaded: 2024-11-03 14:15:11 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: aisafe_xgboost
Version: 0.1.1
Summary: An ensemble xgboost model made by bright-rookie.
Project-Url: repository, https://github.com/bright-rookie/aisafe_back
License: MIT License Copyright (c) 2024 bright-rookie Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice, this permission notice, and all disclaimers shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. MEDICAL DISCLAIMER: THIS SOFTWARE AND ANY ASSOCIATED MATERIALS ARE FOR EDUCATIONAL PURPOSES ONLY AND SHALL NOT BE USED FOR MEDICAL DECISIONS OR CLINICAL PURPOSES. THIS REPOSITORY AND WEBSITE ARE NOT INTENDED FOR CLINICAL USE UNDER ANY CIRCUMSTANCES. THE CONTENT MUST NOT BE USED FOR MEDICAL DECISION-MAKING OR AS A SUBSTITUTE FOR PROFESSIONAL MEDICAL ADVICE. ANY MEDICAL CONCERNS SHOULD BE DIRECTED TO QUALIFIED HEALTHCARE PROFESSIONALS. BRIGHT-ROOKIE AND CONTRIBUTORS ASSUME NO LIABILITY FOR ANY DAMAGES ARISING FROM THE USE OR MISUSE OF THIS REPOSITORY OR WEBSITE. USE OF ANY REPOSITORY CONTENTS AND WEBSITE DATA IS ENTIRELY AT YOUR OWN RISK. NO WARRANTIES ARE PROVIDED REGARDING THE ACCURACY OR COMPLETENESS OF ANY INFORMATION CONTAINED HEREIN.
Keywords: child abuse,gradient boosting machine
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.10
Requires-Dist: pandas (>=2.2.0)
Requires-Dist: xgboost (>=2.0.0)
Requires-Dist: scikit-learn (>=1.3.0)
Requires-Dist: numpy (<2.0.0)
Requires-Dist: scipy (>=1.13.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4862 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.3.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
aisafe_xgboost/__init__.py sha256=kleiviYaFybsg8F9U7NwPlCNIZPPT_V2e_eUftH28zk 3227
aisafe_xgboost/inference.py sha256=DKhqb-rZbFEbCToS5Kb3EX1LoTYfweTkHst2YMZEFm4 4695
aisafe_xgboost/training.py sha256=8zB-fdCxzCkPqcZgCz-0X36NYdsJsgWaPuYpt8iXt_E 5450
aisafe_xgboost/utils.py sha256=A07sA5tIXXmFNm0VzofGC7mBKCSEGXEiwREqjdHp_Cg 7731
aisafe_xgboost/videos.py sha256=BtDpl160S1qf099V6LtCBgZRr8ASZ58-ziNuoKYk8qs 3324
aisafe_xgboost/growth/height_female.csv sha256=PYO6izKKrgXaMiAHqgCpG3WAuezH9IC-ugutVxh6q5E 21045
aisafe_xgboost/growth/height_male.csv sha256=B-Vn_TeLETFz6w25xJ4pSWOfD8a0n-T5AmPyPdqYgq4 21067
aisafe_xgboost/growth/weight_female.csv sha256=2AhqdRP7Zhy4vnUi_iSTKxyq8gjYTzvtJ22i10uGvak 18439
aisafe_xgboost/growth/weight_male.csv sha256=nbgNIRTIwPmIOfNSMAfJESlHOANCc_M1kU3ttrkOhjg 18647
aisafe_xgboost/mock_data/basic_info.csv sha256=N6CdGsVUsLsd4NgxEZjxyoyape1FI6WqQQrzoQUyAss 553
aisafe_xgboost/mock_data/bruise.csv sha256=2MyRqYyB2fRDnUTO641dFhMMcOD09YJSkRqITXLb5Fw 967
aisafe_xgboost/mock_data/combined.csv sha256=BRmz_89enX7hat62lS4toeyQRUWXQ9dfhIA7ENhzVSk 9772
aisafe_xgboost/mock_data/emotion.csv sha256=8Qzi9jlP2F6c4-Onri4TKrTSvmFToyAMtkwwD1V1-OE 4737
aisafe_xgboost/mock_data/exam.csv sha256=zeKEL9Z_OVSDmKNcF4Lu3dwdvUqN7Ixjts8SPjH7m-M 839
aisafe_xgboost/mock_data/fracture.csv sha256=CKCETklig7M7UDvwxFmVp8JVU4r-IVQ3wLHZXXg82-8 718
aisafe_xgboost/mock_data/lab.csv sha256=VZ_a1YAcDe-cxV0zeaa7ywCMyNvD8fFyzlQXqQ0_v30 2458
aisafe_xgboost/mock_data/true_label.csv sha256=iywYxH5PH_QOO9uYlRcJu-3XAtgBQs8ohUX__BgKIXA 229
aisafe_xgboost/models/model_bruise.ubj sha256=BYrnVl5-buppnc6NQIj6-a2_AVzlz29TorQ99xMuO-I 384628
aisafe_xgboost/models/model_info.ubj sha256=Z8EW4YlPQM9YetVmkFplKyoMxzBXdIVTnNK91lG6rpk 385446
aisafe_xgboost/models/model_lab.ubj sha256=fxjwvUXbrIuypxrAsNDFpD24a9cUpEcxHj5kNze_ee4 386262
aisafe_xgboost/models/model_response.ubj sha256=7A2erqdCGW7LJ2XuPVqElHUFN-UhGiWgSaszY3n5mSw 383892
aisafe_xgboost/models/model_video.ubj sha256=jse2zg-vV1GljWlI4Vz35d7qG6N9RVVaNSFniZC8VD4 360593
aisafe_xgboost/models/model_xray.ubj sha256=_un0n7YHiWjyv4CzC8Zs_kBD9ziEetaKWLavgPz2YSM 346746
aisafe_xgboost/models/optimal_weights.npy sha256=USz76g0RvCi-cNRE7SDGwlBpUuwtnsiIX6pqzLiQ788 176
aisafe_xgboost-0.1.1.dist-info/LICENSE sha256=7kI3Ap-nTczmmXuqm0xtGkPoz0Vg2WuSfSYZrFMU2Yg 1837
aisafe_xgboost-0.1.1.dist-info/METADATA sha256=TJ1O3YOBM5Ipq_Yam1F2ypHkDzt58Wy035dM2ReveBY 7841
aisafe_xgboost-0.1.1.dist-info/WHEEL sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc 91
aisafe_xgboost-0.1.1.dist-info/entry_points.txt sha256=J_3Wo6q6knKE1a2rQTcCMMszsRGhBCjhdiN8odfq4BI 60
aisafe_xgboost-0.1.1.dist-info/top_level.txt sha256=1_LUMcPvcCYOqhR04OHLKFk1t8HsC_vrsgg8yK8rAJs 15
aisafe_xgboost-0.1.1.dist-info/RECORD

top_level.txt

aisafe_xgboost

entry_points.txt

safe-train = aisafe_xgboost.training:main