dynamic-time-warping | Dynamic time warping for JavaScript

by GordonLesti JavaScript Version: 1.0.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | dynamic-time-warping Summary

dynamic-time-warping is a JavaScript library. dynamic-time-warping has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i dynamic-time-warping' or download it from GitHub, npm.

Dynamic time warping for JavaScript

Support

Quality

Security

License

Reuse

Support

dynamic-time-warping has a low active ecosystem.

It has 35 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 70 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dynamic-time-warping is 1.0.0

Quality

dynamic-time-warping has 0 bugs and 0 code smells.

Security

dynamic-time-warping has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dynamic-time-warping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dynamic-time-warping is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dynamic-time-warping releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

dynamic-time-warping saves you 5 person hours of effort in developing the same functionality from scratch.

It has 16 lines of code, 0 functions and 4 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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dynamic-time-warping Key Features

No Key Features are available at this moment for dynamic-time-warping.

dynamic-time-warping Examples and Code Snippets

No Code Snippets are available at this moment for dynamic-time-warping.

Community Discussions

Trending Discussions on dynamic-time-warping

How to use Dynamic Time warping with kNN in python

rpy2 Dynamic Time Warping (dtw) in python - windowing does not work

QUESTION

How to use Dynamic Time warping with kNN in python

Asked 2019-Nov-15 at 18:06

I have a time-series dataset with two lables (0 and 1). I am using Dynamic Time Warping (DTW) as a similarity measure for classification using k-nearest neighbour (kNN) as described in these two wonderful blog posts:

ANSWER

Answered 2019-Aug-20 at 07:25

You can use a custom metric for KNN. Therefore you only need to implement DTW yourself (or use/adapt any existing DTW implementation in python) [gist of this code].

Source https://stackoverflow.com/questions/57015499

QUESTION

rpy2 Dynamic Time Warping (dtw) in python - windowing does not work

Asked 2018-Jun-21 at 16:05

A now closed discussion shows how to use the R dtw package in python. This is a little clumsy, but the R dtw package is great and better than currently available python dtw implementations. Unfortunately, the windowing functions like the Sakoe-Chiba band do not work when trying to specify a "window.size". There appears to be an issue with the mapping to the argument. Note that "." in arguments is supposed to be replaced with "_" when using rpy2. But following this convention, the argument is not being used for some reason.

...

ANSWER

Answered 2018-Jun-21 at 16:05

Answering my own question in case anyone ever has the same issue. The problem is the argument mapping and the R three dots ellipsis ‘...’. This can be fixed by specifying the mapping manually.

Source https://stackoverflow.com/questions/50972285

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dynamic-time-warping

Several quick start options are available:.
Download the latest release.
Clone the repo: git clone https://github.com/GordonLesti/dynamic-time-warping.git.
Install with npm: npm install dynamic-time-warping.
Install with Bower: bower install dynamic-time-warping.