py-hausdorff | Fast computation of Hausdorff distance in Python | Machine Learning library

by mavillan Python Version: Current License: GPL-3.0

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kandi X-RAY | py-hausdorff Summary

py-hausdorff is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy, Pandas applications. py-hausdorff has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Fast computation of Hausdorff distance in Python

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py-hausdorff has a low active ecosystem.

It has 138 star(s) with 25 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 9 have been closed. On average issues are closed in 47 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of py-hausdorff is current.

Quality

py-hausdorff has 0 bugs and 0 code smells.

Security

py-hausdorff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py-hausdorff code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py-hausdorff is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

py-hausdorff 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.

Installation instructions, examples and code snippets are available.

py-hausdorff saves you 65 person hours of effort in developing the same functionality from scratch.

It has 170 lines of code, 15 functions and 6 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed py-hausdorff and discovered the below as its top functions. This is intended to give you an instant insight into py-hausdorff implemented functionality, and help decide if they suit your requirements.

Calculate the distance between two distances
r Compute the distance between two arrays .
Compute the haversine of two arrays .
Calculate the cosine between two arrays .
Chebyshev distance
Manhattan distance between two arrays .
Euclidean distance between two arrays .
Return a list of all available functions .

Get all kandi verified functions for this library.

py-hausdorff Key Features

No Key Features are available at this moment for py-hausdorff.

py-hausdorff Examples and Code Snippets

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Community Discussions

Trending Discussions on py-hausdorff

Hausdorff distance between rows of 2 column

QUESTION

Hausdorff distance between rows of 2 column

Asked 2019-Dec-08 at 20:53

Given a data frame:

...

ANSWER

Answered 2019-Dec-08 at 20:53

There's no need to choose rows, this does pdist for you. It calls the user-supplied function for all row combinations. So just supply the row vectors to hausdorff. The only caveat is that hausdorff_distance expects two 2-dimensional arrays as input, so you need to reshape them.

Source https://stackoverflow.com/questions/59231661

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

Vulnerabilities

No vulnerabilities reported

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