Metadata-Version: 2.1
Name: linmdtw
Version: 0.1
Summary: A linear memory, exact, parallelizable algorithm for dynamic time warping in arbitrary Euclidean spaces
Home-page: UNKNOWN
Author: Anonymous
Author-email: ctralie@alumni.princeton.edu
License: Apache2
Description: [![Build Status](https://api.travis-ci.org/ctralie/linmdtw.svg?branch=master)](https://api.travis-ci.org/ctralie/linmdtw)
        [![codecov](https://codecov.io/gh/ctralie/linmdtw/branch/master/graph/badge.svg)](https://codecov.io/gh/ctralie/linmdtw/)
        
        # Parallelizable Dynamic Time Warping with Linear Memory
        
        ## Dependencies
        * cython
        * numba
        * librosa
        * pycuda
        
        To get started, type
        ~~~~~ bash
        python setup.py build_ext --inplace
        ~~~~~
        
        Run the file Orchestral.py to download and run all alignment experiments
Keywords: dynamic time warping,fast dtw,synchronization
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: testing
Provides-Extra: docs
Provides-Extra: examples
