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microfilter

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0.0.9 microfilter-0.0.9-py3-none-any.whl

Wheel Details

Project: microfilter
Version: 0.0.9
Filename: microfilter-0.0.9-py3-none-any.whl
Download: [link]
Size: 9629
MD5: 15967562944badae128d2015431dabbb
SHA256: 085d92e69aa8032b9cd96a08973a07679366fefc97ceb38304a69b540e65e437
Uploaded: 2020-09-15 17:47:50 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: microfilter
Version: 0.0.9
Summary: Filtering noisy data
Author: microprediction
Author-Email: pcotton[at]intechinvestments.com
Home-Page: https://github.com/microprediction/microfilter
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: pytest
Requires-Dist: statsmodels
Requires-Dist: hyperopt
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: microconventions (<0.4)
Requires-Dist: wheel
Description-Content-Type: text/markdown
[Description omitted; length: 728 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
microfilter/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
microfilter/univariate/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
microfilter/univariate/digestdist.py sha256=U1egjbPYKE2VAUKveOHstcTEKwQKQFEoVNQudzi2AFk 556
microfilter/univariate/distmachine.py sha256=97xm17J3d_lDXheVqlxiU5DnT_2Qfk9kGPg4lBsqYRE 1896
microfilter/univariate/expnormdist.py sha256=XtaTYM7yAtdGhoeDf9YtcY4I9uYApMMuq-5GMXF2nrQ 4362
microfilter/univariate/fitdist.py sha256=fsSk-dJtRx3j9joJyAg4MgrfVicmrbwp7Eh-1L-GhDA 3323
microfilter/univariate/noisysim.py sha256=ujnA7B2PEQ3WPEbTHemnEj-8Y0GlJIm0bT7QTXSNOQQ 659
microfilter/univariate/normaldist.py sha256=fwAsrxnp7_wqWJml-rx5XlkQogSlebEL9q-XfQ8FkK0 481
microfilter/univariate/runningmoments.py sha256=vydImLSzuX40d-kM4FNrMGLUNhUgu9XQbiVUQNlAP9Q 2044
microfilter/univariate/skewdist.py sha256=U9SIq_PYSwv7HMNnjHu0B5d70Z3uD9ClWgV627SCQpI 2926
microfilter-0.0.9.dist-info/METADATA sha256=spwQQoIsuEyEGRTurlmE97oMKW9HqE6F22xG3NEtze0 1383
microfilter-0.0.9.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
microfilter-0.0.9.dist-info/entry_points.txt sha256=j8fnlnhU68jSgOQ88-ZJnl27EAY7ioxubzBKsOZtP_M 59
microfilter-0.0.9.dist-info/top_level.txt sha256=IKzjE2cUwLnhEOKorFYdssBDnRs5XlZIO7JuPjodZiE 12
microfilter-0.0.9.dist-info/RECORD — —

top_level.txt

microfilter

entry_points.txt

[console_scripts]
microfilter = microfilter.__main__:main