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sklPCA

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1.0.0

sklPCA-1.0.0-py3-none-any.whl

Wheel Details

Project:	sklPCA
Version:	1.0.0
Filename:	sklPCA-1.0.0-py3-none-any.whl
Download:	[link]
Size:	8594
MD5:	`c949da84f8ab097a464830d087e22811`
SHA256:	`1fbaeab44b9ac91dabc9ef4254d3249516dc1ceec1d012a768c46f420bd1d014`
Uploaded:	2018-08-23 22:40:26 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	sklPCA
Version:	1.0.0
Summary:	Supervised Kernel-Based Longitudinal PCA (skl-PCA)
Author:	Mindstrong Health Data Science
Author-Email:	datascience[at]mindstronghealth.com
Home-Page:	http://mindstrong.com
Keywords:	digital biomarkers,supervised methods,kernel methods,longitudinal methods,dimension reduction,machine learning
Classifier:	Development Status :: 5 - Production/Stable
Classifier:	Intended Audience :: Developers
Classifier:	License :: OSI Approved :: GNU Affero General Public License v3
Classifier:	Programming Language :: Python :: 3
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	pandas
Requires-Dist:	sklearn

[Description omitted; length: 1285 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.31.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
sklPCA/__init__.py	sha256=7mMXFYCuoF0pqieBwb1m-a9q-LVkDMBLHgW5s01vjHw	16
sklPCA/functions.py	sha256=9TTGqYMFaYi3tSqLipfzr0YREA7yfuUtENIvb9rGHuc	21037
sklPCA-1.0.0.data/scripts/examples.py	sha256=7RClDSoMdI1zmpOON51g7PDiopA2Gz4cYX684a7cGeY	5420
sklPCA-1.0.0.dist-info/METADATA	sha256=phsQg_b98Ea34YrWyero0YgMzEXX3D3PoOZbyRsG6gc	1982
sklPCA-1.0.0.dist-info/RECORD	—	—
sklPCA-1.0.0.dist-info/WHEEL	sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI	92
sklPCA-1.0.0.dist-info/top_level.txt	sha256=Jn3s7SZBIPafIuwsEA9v7DBT8D_gIVRSvEvp5ta8fMI	7

top_level.txt

sklPCA