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FeatTS

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0.0.3 FeatTS-0.0.3-py3-none-any.whl

Wheel Details

Project: FeatTS
Version: 0.0.3
Filename: FeatTS-0.0.3-py3-none-any.whl
Download: [link]
Size: 22192
MD5: 4372be430e6ed73b249549a912e29d7e
SHA256: 8ed95172fde80fe60d463b19efa3af73171604692eb4dd894e6e065cc9d5aebc
Uploaded: 2024-06-21 20:20:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · zip-safe

METADATA

Metadata-Version: 2.1
Name: FeatTS
Version: 0.0.3
Summary: A new method for clustering time series by adopting the best statistical features.
Author: Donato Tiano
Author-Email: donatotiano[at]gmail.com
Home-Page: https://github.com/protti/FeatTS
Requires-Dist: fastdtw (>=0.3.4)
Requires-Dist: networkx (>=2.5.1)
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: pandas (>=1.3.0)
Requires-Dist: pyclustering (==0.10.1.2)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: scipy (==1.13.1)
Requires-Dist: tsfresh (>=0.18.0)
Requires-Dist: aeon (>=0.6.0)
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
FeatTS/PFA.py sha256=lj4qi4jb4Fha32h7RrcbsRygqdoSYpOIccxZULyw13A 1343
FeatTS/SLPA.py sha256=fIMoy3DINJiQy5v84vlvp-QR1lbGat422Ls_V0MGb4c 2241
FeatTS/__init__.py sha256=XRtwjiYh-EayIGOFFUXIQr5DNj_4aYLkzKfCrvSsGsg 101
FeatTS/featTS_core.py sha256=D3J5mgdyYDy0gFgFAgNhuZ0bK86xuNCczHW0iAEji3s 9069
FeatTS/utilFeatExtr.py sha256=tD_LQJscT7Q5_k-SAzDCAwyr_3-_bPvZURUCs_s82og 12038
FeatTS-0.0.3.dist-info/LICENSE sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk 35823
FeatTS-0.0.3.dist-info/METADATA sha256=FkEk7tp6Dcl0reD9Xyb_rnkt3Ik2hZ9XTR_5ALynhNk 573
FeatTS-0.0.3.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
FeatTS-0.0.3.dist-info/top_level.txt sha256=iOxcJc2HZnN2c7VLH5NoJI5NPRymTeWkD4avHzLF1E8 7
FeatTS-0.0.3.dist-info/zip-safe sha256=frcCV1k9oG9oKj3dpUqdJg1PxRT2RSN_XKdLCPjaYaY 2
FeatTS-0.0.3.dist-info/RECORD — —

top_level.txt

FeatTS

zip-safe