sompy | numpy based SOM Library | Machine Learning library

by ttlg Python Version: 0.1.1 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sompy Summary

sompy is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy, Neural Network applications. sompy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sompy' or download it from GitHub, PyPI.

numpy based SOM Library

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Quality

Security

License

Reuse

Support

sompy has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 508 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sompy is 0.1.1

Quality

sompy has 0 bugs and 0 code smells.

Security

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

sompy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sompy 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

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

sompy saves you 46 person hours of effort in developing the same functionality from scratch.

It has 122 lines of code, 9 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Returns the winner node corresponding to the input layer
Update the layer
Calculate learning radius
Calculate the neighbourhood of the neighbourhood
Return the learning rate for time t
Set the sensor parameter

Get all kandi verified functions for this library.

sompy Key Features

No Key Features are available at this moment for sompy.

sompy Examples and Code Snippets

Library sompy for implementing self-organizing maps

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip3 install git+https://github.com/compmonks/SOMPY.git

jupyter error ImportError: cannot import name path

Python

Lines of Code : 7

License : Strong Copyleft (CC BY-SA 4.0)

Copy

sudo apt-get remove ipython ipython-notebook ipython-notebook-common

sudo pip uninstall jupyter 
sudo pip uninstall ipython

sudo pip install jupyter

Community Discussions

Trending Discussions on sompy

Library sompy for implementing self-organizing maps

QUESTION

Library sompy for implementing self-organizing maps

Asked 2021-Jun-14 at 18:26

I have installed the library sompy, but when I import it I have the next error:

...

ANSWER

Answered 2021-Jun-14 at 18:26

This problem is explained here. The solution is to install a newer version of sompy:

Source https://stackoverflow.com/questions/67934226

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

Vulnerabilities

No vulnerabilities reported

Install sompy

You can install using 'pip install sompy' or download it from GitHub, PyPI.
You can use sompy 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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