Wheelodex » Projects » Hive-ML

Hive-ML

View on PyPI — Reverse Dependencies (0)

1.0.1 Hive_ML-1.0.1-py3-none-any.whl

Wheel Details

Project: Hive-ML
Version: 1.0.1
Filename: Hive_ML-1.0.1-py3-none-any.whl
Download: [link]
Size: 34443
MD5: eb5fe6a34cb1047e0682bc63e240dad3
SHA256: 315deea6876a435f4e4ebe6238eb60dd33f087295eddee226c783f65147fd417
Uploaded: 2023-07-25 14:59:36 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: Hive-ML
Version: 1.0.1
Summary: Python package to run Machine Learning Experiments, within the Hive Framework.
Author: Bendazzoli Simone
Author-Email: simben[at]kth.se
Home-Page: https://github.com/MAIA-KTH/Hive_ML.git
Project-Url: Documentation, https://hive-ml.readthedocs.io
Project-Url: Bug Tracker, https://github.com/MAIA-KTH/Hive_ML/issues
Project-Url: Source Code, https://github.com/MAIA-KTH/Hive_ML
License: GPLv3
Keywords: machine learning,image classification,PCR,medical image analysis,DCE MRI,radiomics,feature selection,radiodynamics
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Typing :: Typed
Platform: OS Independent
Requires-Python: >=3.8
Requires-Dist: numpy (==1.23.5)
Requires-Dist: SimpleITK (==2.2.1)
Requires-Dist: six (==1.16.0)
Requires-Dist: hive-maia (==1.1.2rc2)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: pyradiomics (==3.0.1)
Requires-Dist: tqdm (==4.64.1)
Requires-Dist: mlflow (==2.5.0)
Requires-Dist: pysftp (==0.2.9)
Requires-Dist: mlxtend (==0.22.0)
Requires-Dist: scikit-learn (==1.2.1)
Requires-Dist: scipy (==1.10.0)
Requires-Dist: plotly (==5.9.0)
Requires-Dist: yellowbrick (==1.5)
Requires-Dist: kaleido (==0.2.1)
Description-Content-Type: text/markdown; charset=UTF-8
[Description omitted; length: 6746 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
Hive_ML/__init__.py sha256=i1OTn1AdngdvNxFCdH3rIUEtMcHkWARFlEpONKBbGMI 73
Hive_ML/_version.py sha256=s3LJjkm-nf36YsO0meuhpgmjdE1u8MGSyw8D9up0g-M 497
Hive_ML/configs/Radiodynamics_12_config.json sha256=QZ_0MWxkAHjrvdPjnjye-EzuN60nB3WsGyR3zxGFh3w 1660
Hive_ML/configs/Radiodynamics_config.json sha256=ax80tbumP1sCpWaRC3ilurtGa9WQuNSki7iSbubfNno 1091
Hive_ML/configs/Radiomics_config.json sha256=aUUzfErSs7Su3TRSiSGHrhIsSHa5DJVVhwLR3GypSx0 705
Hive_ML/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/data_loader/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/data_loader/feature_loader.py sha256=pg9jGiedcme1tgsh38M5AZH5fxYGdLbWcl9R47SYjpI 2904
Hive_ML/data_loader/image_loader.py sha256=XhdhAJEP9sz14-UDe96E-OR5I9UEyrZUv_br02AsrCE 2129
Hive_ML/evaluation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/evaluation/model_evaluation.py sha256=xe-_RUbsF4PxXV9hXwD6mqBdamApetBDRyK-6xA-oDc 10089
Hive_ML/extraction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/extraction/feature_extraction.py sha256=Y2DwF0arQIJASWkKVuCqfhHlp-_5y-zyr4kVybzBAOg 9354
Hive_ML/feature_generation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/feature_generation/perfusion_features.py sha256=xLcMi1pvYNUeE1hNlZJ6dLw4YVvFA8zN_66JvA4Io4k 20310
Hive_ML/training/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/training/model_trainer.py sha256=xbR01mNbjko6bc4LfOljpE2Nhxp_umx-8xV9Z4Y7K9s 737
Hive_ML/training/models.py sha256=lgPUpSWW0y1yxproXvxdZBQyRpYHEhHc3U_O9G1VuA0 8120
Hive_ML/utilities/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
Hive_ML/utilities/feature_utils.py sha256=5hUIdpOZuTbYirvOm0APvWcpOIKFqt6bUj4CdyOwmMk 9868
Hive_ML-1.0.1.data/data/requirements.txt sha256=ie8_AG9bCGCcZFf3bsTrDrPEZ8P2PGRV8W8g21r3hec 232
Hive_ML_scripts/Hive_ML_extract_radiomics.py sha256=EWNwD6z2Eh6CWja-DEe73Ba3XvermVJcC5SH0ftr_QE 9066
Hive_ML_scripts/Hive_ML_feature_selection.py sha256=rJHCimYm0njCHtlvvCEhcxfywPtc6uqzkT0WHxbJovg 8914
Hive_ML_scripts/Hive_ML_generate_perfusion_maps.py sha256=b7a_xLGzwQ3hr9t-OJ0-t4vhlsLOkMpprTGEzM4EEVw 5081
Hive_ML_scripts/Hive_ML_model_fitting.py sha256=lVbwbY9pHZx6YO7gjZEBUNBLruvFg8Hx_c2NtQ-DS6k 15821
Hive_ML_scripts/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
Hive_ML-1.0.1.dist-info/METADATA sha256=lLC0ppFA5QwxpIvaFPA0Qw06B4M8QEdv93Y6Ht7xgJw 8733
Hive_ML-1.0.1.dist-info/WHEEL sha256=AtBG6SXL3KF_v0NxLf0ehyVOh0cold-JbJYXNGorC6Q 92
Hive_ML-1.0.1.dist-info/entry_points.txt sha256=N9Tsi-2t-TKAPNTFwC5mlMUfUx3z5EonWYpg5XYSoAI 322
Hive_ML-1.0.1.dist-info/top_level.txt sha256=Jj-YmDg1uY1J9dhYQhWKPM8XPUhJNRAxj5n7JutE3EQ 24
Hive_ML-1.0.1.dist-info/RECORD — —

top_level.txt

Hive_ML
Hive_ML_scripts

entry_points.txt

[console_scripts]
Hive_ML_extract_radiomics = Hive_ML_scripts.Hive_ML_extract_radiomics:main
Hive_ML_feature_selection = Hive_ML_scripts.Hive_ML_feature_selection:main
Hive_ML_generate_perfusion_maps = Hive_ML_scripts.Hive_ML_generate_perfusion_maps:main
Hive_ML_model_fitting = Hive_ML_scripts.Hive_ML_model_fitting:main