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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-cp38-cp38-win32.whl
Download:	[link]
Size:	102067
MD5:	`1060755b7147109064866696aaa4e35f`
SHA256:	`a9dca3f5023c766c2aeb700eb9eeed552a09fd8d338d05aa3e339f1d9bf683b0`
Uploaded:	2021-05-12 21:11:06 +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:	cp38-cp38-win32

RECORD

Path	Digest	Size
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hmmpy/base.py	sha256=ua5wzIY9YCaAtJ5K4Yytkev3NdGS--btYtFhqHSZshI	19647
hmmpy/hmm_cython.cp38-win32.pyd	sha256=dN9LjtubvxPwuu9f-sFtfLbqwQrsjLuNsezC2YGHXYw	136192
hmmpy/hmm_online.py	sha256=e-W0GEAbNHdr09GdvLZOuQs2EmgF_etyc6PJvkMsgcE	8152
hmmpy/hmm_t_em.py	sha256=tECN9wAdgO5WgJpLuCiHWbGX0TVjEhaiehblzNrJ2tI	4570
hmmpy/jump.py	sha256=rVCbS8CzfgfBao22Vp5faiiX-qVeRdHkkR5vdr9Y2u4	21005
hmmpy/mle.py	sha256=WpoKbqyZNOhNXq4jSw_y-3Lg2ATsNPCMJFu_RzudnvI	9999
hmmpy/sampler.py	sha256=jdAN4tlm7oX2FA3YciX2WGWrpVD3ARpUdn2TxS6kpGY	7069
hmmpy/finance/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/finance/backtest.py	sha256=zSwve89MmRv_LlWm32OhBXFi7ajDd_ecvgitb7m3ysk	32381
hmmpy/finance/backtest_alternatives.py	sha256=s22RNwLznHTCe2DWUbrIAyDRUzdH6oM9gyGS5M8fG7I	3960
hmmpy/finance/merge_data.py	sha256=qsGbsl0p_HQc176hfJao6Q3Rz3fZb9u1yWTARiOo0yw	1120
hmmpy/finance/mpc_model.py	sha256=aS_s57ilug1yAhrgTV_snU5hJYQQW1ySnGO9sXjr9qw	10263
hmmpy/utils/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/utils/data_prep.py	sha256=5ZoGtCvBxL48LK6Sp21gmVxdvRNj4f_UovEZx-E6PhM	5702
hmmpy/utils/simulate_returns.py	sha256=mnvDnwNrgaq3TrSrIe-AQV0DSRRmxz2r5lBa1f5CQcg	4748
hmmpy/utils/plotting/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hmmpy/utils/plotting/plot_hmm.py	sha256=yZNaUIzza_2g9HBQQQopjkpfaJJlKR0mymkBHDCtT1E	2138
hmm_py-0.0.2.dist-info/LICENSE	sha256=6kbiFSfobTZ7beWiKnHpN902HgBx-Jzgcme0SvKqhKY	1091
hmm_py-0.0.2.dist-info/METADATA	sha256=zbznlfmtfePj8b8UfgXmvMlqPEsqxphqFzccuMqIseY	2780
hmm_py-0.0.2.dist-info/WHEEL	sha256=_iQIYqodxlIIeRSKaaUx61MUqAflFno6m3IasYrHq0k	96
hmm_py-0.0.2.dist-info/top_level.txt	sha256=-0gwQVseol_gG6azMF1TWWW-5x3Y4sF0KKGFb-p77MU	6
hmm_py-0.0.2.dist-info/RECORD	—	—

top_level.txt

hmmpy