piwheels

soft-dtw

Python implementation of soft-DTW

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install soft-dtw

Dependencies

• cython
• chainer
• numpy
• scipy
• scikit-learn

Releases

Version	Released	Bullseye Python 3.9	Bookworm Python 3.11	Trixie Python 3.13	Files
0.1.6	2018-05-16
soft_dtw-0.1.6-cp37-cp37m-linux_armv6l.whl (82 KB) soft_dtw-0.1.6-cp37-cp37m-linux_armv7l.whl (82 KB) soft_dtw-0.1.6-cp35-cp35m-linux_armv7l.whl (75 KB) soft_dtw-0.1.6-cp35-cp35m-linux_armv6l.whl (75 KB) soft_dtw-0.1.6-cp39-cp39-linux_armv6l.whl (82 KB) soft_dtw-0.1.6-cp39-cp39-linux_armv7l.whl (82 KB)
0.1.0	2018-05-16
soft_dtw-0.1.0-cp37-cp37m-linux_armv7l.whl (83 KB) soft_dtw-0.1.0-cp37-cp37m-linux_armv6l.whl (83 KB) soft_dtw-0.1.0-cp35-cp35m-linux_armv7l.whl (75 KB) soft_dtw-0.1.0-cp35-cp35m-linux_armv6l.whl (75 KB) soft_dtw-0.1.0-cp39-cp39-linux_armv6l.whl (79 KB) soft_dtw-0.1.0-cp39-cp39-linux_armv7l.whl (79 KB) soft_dtw-0.1.0-cp313-cp313-linux_armv6l.whl (122 KB) soft_dtw-0.1.0-cp313-cp313-linux_armv7l.whl (122 KB)

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