dp_python | Optimized Dynamic Programming

by dpwe Python Version: Current License: MIT

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

kandi X-RAY | dp_python Summary

dp_python is a Python library. dp_python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Optimized Dynamic Programming (DP) / Dynamic Time Warp (DTW) as a Python external. Implments the classic dynamic programming best-path calculation. Because the inner loop is implemented as a C routine, it is 500-1000x faster than the equivalent pure Python. The external library needs to be compiled; this should be possible with python setup.py build. This creates the _dpcore_py.so file that needs to go in the same directory as dpcore.py. (If you’re using HomeBrew on a Mac, you may be able to simply make -f Makefile.dpcore_py to create the compiled object.). See for an ipython notebook demonstrating the DTW alignment of two spoken utterances. Based on the Matlab DP external:

Support

Quality

Security

License

Reuse

Support

dp_python has a low active ecosystem.

It has 70 star(s) with 19 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 2087 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dp_python is current.

Quality

dp_python has no bugs reported.

Security

dp_python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dp_python 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

dp_python releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dp_python

Get all kandi verified functions for this library.

dp_python Key Features

No Key Features are available at this moment for dp_python.

dp_python Examples and Code Snippets

No Code Snippets are available at this moment for dp_python.

Community Discussions

No Community Discussions are available at this moment for dp_python.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install dp_python

You can download it from GitHub.
You can use dp_python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: