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bayesian-hmm

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0.0.4

bayesian_hmm-0.0.4-py3-none-any.whl

Wheel Details

Project:	bayesian-hmm
Version:	0.0.4
Filename:	bayesian_hmm-0.0.4-py3-none-any.whl
Download:	[link]
Size:	20107
MD5:	`14e9d741ce4d14cd9295d9404a6ba6e5`
SHA256:	`778bece06a944938b42a735b61b01954b4719ee760a4f2235850a3ed2754f28f`
Uploaded:	2019-09-14 01:06:26 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	bayesian-hmm
Version:	0.0.4
Summary:	A non-parametric Bayesian approach to Hidden Markov Models
Author:	James Ross
Author-Email:	jamespatross[at]gmail.com
Home-Page:	https://github.com/jamesross2/Bayesian-HMM
License:	MIT
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	sympy
Requires-Dist:	terminaltables
Requires-Dist:	tqdm
Description-Content-Type:	text/markdown

[Description omitted; length: 7713 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.33.6)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
bayesian_hmm/__init__.py	sha256=30XFi94bBM5RcRtxrVyJjWPMG52rF8dLvNIlHVRxRO8	458
bayesian_hmm/chain.py	sha256=1E3rqPBs5pfjFf5LsgsuED4bev46BFxXzkwuSgaN70U	7878
bayesian_hmm/hdphmm.py	sha256=MUZRdKvifjIKbXcoXBhyld0jWSlAwiQp0FeBtC1sIX8	49155
bayesian_hmm/utils.py	sha256=WZbBvGD6Li1GQvFFT4wzEb37eEldeD6QklLJfyJVwTc	2318
bayesian_hmm-0.0.4.dist-info/LICENSE	sha256=ZtXrt5buDEEUbP57Dw97LmHrJuYx2NbpCmv00Zj_aO4	1067
bayesian_hmm-0.0.4.dist-info/METADATA	sha256=LEQ_R_mcjLFMOl9i2MJEHXOQVi640k4OvMtrO4iO2VE	8278
bayesian_hmm-0.0.4.dist-info/WHEEL	sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec	92
bayesian_hmm-0.0.4.dist-info/top_level.txt	sha256=baxvdfMLTTB6KEnnRBTfv9hK2GP6YJJdw87B1gzSI0Q	13
bayesian_hmm-0.0.4.dist-info/RECORD	—	—

top_level.txt

bayesian_hmm