mol2vec

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0.2.2 mol2vec-0.2.2-py3-none-any.whl

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Project: mol2vec
Version: 0.2.2
Filename: mol2vec-0.2.2-py3-none-any.whl
Download: [link]
Size: 15873
MD5: eb02a6eddad66e2f6626453cf2a15bf7
SHA256: 05c198e0ab5380811a3c5f89428a3279e5dae7572c19b03481772d75c526ce40
Uploaded: 2023-09-01 02:50:53 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: mol2vec
Version: 0.2.2
Summary: Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
Author: Samo Turk, Sabrina Jaeger, Simone Fulle
Author-Email: samo.turk[at]gmail.com, sabrina.jaeger[at]t-online.de, fulle[at]bio.mx
Home-Page: http://github.com/samoturk/mol2vec
License: BSD 3-clause
Requires-Dist: numpy
Requires-Dist: gensim
Requires-Dist: tqdm
Requires-Dist: joblib
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: IPython
Requires-Dist: seaborn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4883 characters]

WHEEL

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Tag: py3-none-any

RECORD

Path Digest Size
mol2vec/__init__.py sha256=pKh2_hmFNUwG0JxbL18qxdmi_nmFpgRbR8X6IPZr08o 21
mol2vec/features.py sha256=RXfSFotykJoC93JI17kgjs25t0b3_KlVeBMcRPVxMCc 16715
mol2vec/helpers.py sha256=4Rkgeg8rhllCPCUAkoZTQIi_QavtQpPZCDNsaCjRBKo 11016
mol2vec/app/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mol2vec/app/mol2vec.py sha256=3gOWq3geSSUh1UOJIS7jbWsNBnJknshzJz4AHkZPCbM 8225
mol2vec-0.2.2.dist-info/LICENSE sha256=jPJEWW8Sb9UCVucd_A5txnLYfgsbu3nM3vazjZo5oNw 1518
mol2vec-0.2.2.dist-info/METADATA sha256=OBR1Mvj3RO0bZ6HHnx2S4p5gME-U3dy-3C0lyDxEAZ8 5508
mol2vec-0.2.2.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
mol2vec-0.2.2.dist-info/entry_points.txt sha256=a4r17Z9UUU2DriZ4AZeGBUx9LTFhQ5cxQgVW2NOey84 52
mol2vec-0.2.2.dist-info/top_level.txt sha256=t6sAnHoQHOg2rKwePSHIdwKyeDYaVS7U8XqPsGJo5nM 8
mol2vec-0.2.2.dist-info/RECORD

top_level.txt

mol2vec

entry_points.txt

mol2vec = mol2vec.app.mol2vec:run