chompy | Novel approach to geometric and solid modeling | Topic Modeling library

by apaoluzzi Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | chompy Summary

chompy is a Python library typically used in Artificial Intelligence, Topic Modeling applications. chompy has no bugs, it has no vulnerabilities and it has low support. However chompy build file is not available. You can download it from GitHub.

Novel approach to geometric and solid modeling.

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Support

chompy has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

chompy has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of chompy is current.

Quality

chompy has no bugs reported.

Security

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

License

chompy does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

chompy has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Draws a mesh
Create an offset for a given shape
Generate a list of cylinders
Generate cells for a given color
Repracks a boundary
Returns the edge faces of the boundary
Return the boundary of an object
Return a cartesian product of a homology
Return the grid of a list of lists of numbers
Quote a list of numList nodes
Draw a complex structure
Repracks a boundary boundary
Decompress a boundary
Set up the chains
Convert from tetra to hexs
Explode a scene
Create a simplex3 grid

Get all kandi verified functions for this library.

chompy Key Features

No Key Features are available at this moment for chompy.

chompy Examples and Code Snippets

No Code Snippets are available at this moment for chompy.

Community Discussions

Trending Discussions on chompy

Recommendation System by using Euclidean Distance (TypeError: unsupported operand type(s) for -: 'str' and 'str')

QUESTION

Recommendation System by using Euclidean Distance (TypeError: unsupported operand type(s) for -: 'str' and 'str')

Asked 2021-Jan-03 at 19:48

I have a problem about implementing recommendation system by using Euclidean Distance.

What I want to do is to list some close games with respect to search criteria by game title and genre.

Here is my project link : Link

After calling function, it throws an error shown below. How can I fix it?

Here is the error

...

ANSWER

Answered 2021-Jan-03 at 16:00

The issue is that you are using euclidean distance for comparing strings. Consider using Levenshtein distance, or something similar, which is designed for strings. NLTK has a function called edit distance that can do this or you can implement it on your own.

Source https://stackoverflow.com/questions/65551325

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

Vulnerabilities

No vulnerabilities reported

Install chompy

You can download it from GitHub.
You can use chompy 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 .

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