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hmm-py

0.0.2	hmm_py-0.0.2-cp39-cp39-manylinux2010_x86_64.whl
	hmm_py-0.0.2-cp39-cp39-manylinux2010_i686.whl
	hmm_py-0.0.2-cp39-cp39-manylinux1_x86_64.whl
	hmm_py-0.0.2-cp39-cp39-manylinux1_i686.whl
	hmm_py-0.0.2-cp39-cp39-win_amd64.whl
	hmm_py-0.0.2-cp39-cp39-win32.whl
	hmm_py-0.0.2-cp39-cp39-macosx_10_9_x86_64.whl
	hmm_py-0.0.2-cp38-cp38-manylinux2010_x86_64.whl
	hmm_py-0.0.2-cp38-cp38-manylinux2010_i686.whl
	hmm_py-0.0.2-cp38-cp38-manylinux1_x86_64.whl
	hmm_py-0.0.2-cp38-cp38-manylinux1_i686.whl
	hmm_py-0.0.2-cp38-cp38-win_amd64.whl
	hmm_py-0.0.2-cp38-cp38-win32.whl
	hmm_py-0.0.2-cp38-cp38-macosx_10_9_x86_64.whl

Wheel Details

Project:	hmm-py
Version:	0.0.2
Filename:	hmm_py-0.0.2-cp39-cp39-manylinux1_x86_64.whl
Download:	[link]
Size:	426489
MD5:	`19f7ebb22f6da69190b29f43442aa0c8`
SHA256:	`a220d5a564a7e1370406a29ba1bd83638f9bdb21cce4a3d397336e6e2f9e4137`
Uploaded:	2021-05-12 21:11:13 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	hmm-py
Version:	0.0.2
Summary:	A python module to implement Hidden Markov hidden_markov for financial times series.
Author:	Cstolborg
Author-Email:	christianstolborg[at]gmail.com
Home-Page:	https://github.com/Cstolborg/hmmpy
Classifier:	Programming Language :: Cython
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.8
Requires-Dist:	numpy (>=1.20.1)
Requires-Dist:	scikit-learn (>=0.24.0)
Requires-Dist:	scipy (>=1.5.4)
Requires-Dist:	pandas (>=1.2.0)
Requires-Dist:	tqdm
Requires-Dist:	cython
Requires-Dist:	Sphinx; extra == "docs"
Requires-Dist:	sphinx-gallery; extra == "docs"
Provides-Extra:	docs
Description-Content-Type:	text/markdown

[Description omitted; length: 1914 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.36.2)
Root-Is-Purelib:	false
Tag:	cp39-cp39-manylinux1_x86_64

RECORD

Path	Digest	Size
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hmmpy/base.py	sha256=NUXcn7Zf0zOCG8D2s-OeZnh9e7UQsP8eUdjXMYSN0Hc	19158
hmmpy/mle.py	sha256=b1lALxhQ7SnzTS38ScsW3HeA2GaEFZKiP5a9zE5sG9s	9768
hmmpy/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/sampler.py	sha256=2seMNH8fnj4MJYqvoCYFLmX_dud52FaXMU8P8bT7oCs	6894
hmmpy/hmm_t_em.py	sha256=hK9E8P4jGOWe3gAlSgjktli1TgIIE9QvXwiUfxvXL7g	4467
hmmpy/hmm_online.py	sha256=DwJnKybSQ1oz63Ro-fkfmaqbyosr2uIxnvr1uMmiGWE	7972
hmmpy/jump.py	sha256=SYF9hfvLf14_Kgdm3LGHqjDKFUMAAxFFfP9LYUzJzag	20513
hmmpy/finance/merge_data.py	sha256=baGyee5AsUSkI8UZ6ImAiFJVs6gMP1zo5JotSLwIPS0	1085
hmmpy/finance/backtest_alternatives.py	sha256=tCjTal9AOUYhIPErG3PvwAsiwt5w2GT3uOTSwJvga0w	3866
hmmpy/finance/backtest.py	sha256=xFhszrDLPFBAZ3uWSoXIpQ5flbm_Elxxobz15kSOjhc	31663
hmmpy/finance/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/finance/mpc_model.py	sha256=rDlFfy36JYCI3nqWGHPIKNnSGtHG5e87jbeqjiGSkK4	10024
hmmpy/utils/data_prep.py	sha256=d9m8etfmoxDyHP5PZkCZnvwRSiSKPyoYrEIye8Buq4s	5535
hmmpy/utils/simulate_returns.py	sha256=3WjVpfS0xOrkIlAJYVcuIFpQgwiIZpicMzgrO3G6sR0	4630
hmmpy/utils/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/utils/plotting/plot_hmm.py	sha256=nOniKN9CwiF28lRCXiWZaTw7ljiDc3QrAEzNwg4GB1c	2080
hmmpy/utils/plotting/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmm_py-0.0.2.dist-info/RECORD	—	—
hmm_py-0.0.2.dist-info/WHEEL	sha256=ieuC8Vv7a4Lxq8jfQJ-x1beMvjYNP_LKilYokdMTB0U	108
hmm_py-0.0.2.dist-info/METADATA	sha256=zbznlfmtfePj8b8UfgXmvMlqPEsqxphqFzccuMqIseY	2780
hmm_py-0.0.2.dist-info/LICENSE	sha256=2bm9uFabQZ3Ykb_SaSU_uUbAj2-htc6WJQmS_65qD00	1073
hmm_py-0.0.2.dist-info/top_level.txt	sha256=-0gwQVseol_gG6azMF1TWWW-5x3Y4sF0KKGFb-p77MU	6

top_level.txt

hmmpy