Wheelodex » Projects » composition_based_feature_vector

composition_based_feature_vector

View on PyPI — Reverse Dependencies (1)

1.0.6 composition_based_feature_vector-1.0.6-py3-none-any.whl

Wheel Details

Project: composition_based_feature_vector
Version: 1.0.6
Filename: composition_based_feature_vector-1.0.6-py3-none-any.whl
Download: [link]
Size: 543689
MD5: 534eb4faca19ad01d78ef9088d8c9286
SHA256: 9d89e5fa27af9cbe47a8985dcdca2ef4702ff458c7043a882c7e3ccf8e30da76
Uploaded: 2023-06-27 00:06:22 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: composition_based_feature_vector
Version: 1.0.6
Summary: Tool for quickly creating a composition-based feature vector.
Author: Andrew Falkowski
Author-Email: Steven Kauwe <jkkauwe[at]gmail.com>, Anthony Wang <aytwang[at]alumni.uwaterloo.ca>, "Sterling G. Baird" <sterling.baird[at]utah.edu>
Project-Url: Home, https://github.com/sparks-baird/CBFV
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
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
Requires-Python: >=3
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: pytest
Description-Content-Type: text/markdown
[Description omitted; length: 2396 characters]

WHEEL

Wheel-Version: 1.0
Generator: flit 3.3.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
composition_based_feature_vector/__init__.py sha256=JCu4S1_DoLM57FD_nshcvy7vXYuVo9O8z_IG_WIyyD8 172
composition_based_feature_vector/composition.py sha256=ukzKPGvVARo_mP3FOnPSmc8yirpSRQco_0EZ4K8aHbo 11737
composition_based_feature_vector/meta.yaml sha256=0yFgsKSNx30wX1j-g1qxYTCWbiEkatVb9CklK5A5Ndc 954
composition_based_feature_vector/element_properties/jarvis.csv sha256=yztUGEERYihGp89kzYHG6lapoEbtvTKiE0sCWcBppq8 400588
composition_based_feature_vector/element_properties/magpie.csv sha256=tXYp1oRFl7KZzz-EEX0_ehOGN5IUQ4D99Dj-jz3acvI 11013
composition_based_feature_vector/element_properties/mat2vec.csv sha256=clhG8Bc-hjO-T5kQ3ZiWV5pdZLbz9QUCnsx-nGu0Hg4 477010
composition_based_feature_vector/element_properties/oliynyk.csv sha256=RcOahhREFl9ZG9o1p4qBK0tZIqzejKV-9YHxYCta0oQ 15385
composition_based_feature_vector/element_properties/onehot.csv sha256=z1Ag_kJXVACiyfSUD8FhTIEr8MbTFboAiCmtImIrBpQ 29638
composition_based_feature_vector/element_properties/random_200.csv sha256=YcMqYnTeaayvirqVTQL0RlHIWb8eZ_LdtKsVu7ZHIko 322952
composition_based_feature_vector/tests/test.py sha256=BADVBVJgU-6BmoxPOZRk0lpLJ1ySFbeelz4HkafQPbI 4830
composition_based_feature_vector/tests/test_composition.py sha256=EBSAhm4QIks6y_IKOT4NoV8D2NqU9pb8z4Y7nD0LkPU 519
composition_based_feature_vector-1.0.6.dist-info/LICENSE sha256=kvIGtu0FXUOzzJtPlhMlrR5y6hI2A9pK_iiiiIMIKIc 1100
composition_based_feature_vector-1.0.6.dist-info/WHEEL sha256=VUbF57hf4yRZWWrOOjp25Fr4BQX9EtnVSbnP2vNxHDM 81
composition_based_feature_vector-1.0.6.dist-info/METADATA sha256=rsqlv_AXqAl6ttuR4Dl4dxLFBIz2jS7150nSw_lTA5Q 3591
composition_based_feature_vector-1.0.6.dist-info/RECORD — —