simpful | A friendly python library for fuzzy logic | Machine Learning library

by aresio Python Version: 2.12.0 License: GPL-3.0

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

kandi X-RAY | simpful Summary

simpful is a Python library typically used in Artificial Intelligence, Machine Learning applications. simpful has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However simpful has 1 bugs. You can install using 'pip install simpful' or download it from GitHub, PyPI.

A Python library for fuzzy logic reasoning, designed to provide a simple and lightweight API, as close as possible to natural language. Simpful supports Mamdani and Sugeno reasoning of any order, parsing any complex fuzzy rules involving AND, OR, and NOT operators, using arbitrarily shaped fuzzy sets. For more information on its usage, try out the example scripts in this repository or check our online documentation.

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Quality

Security

License

Reuse

Support

simpful has a low active ecosystem.

It has 78 star(s) with 23 fork(s). There are 8 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 4 open issues and 7 have been closed. On average issues are closed in 96 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of simpful is 2.12.0

Quality

simpful has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 99 code smells.

Security

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

simpful code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

simpful 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

simpful releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

It has 1063 lines of code, 101 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Produce matplotlib figure
Draws the discourse graph
Get value
Fast interpolation
Infer Mamdani coefficients
Implementation of Mamdani
Return the value of a given value
Return the index of the given term
Perform Sugeno inference on the given terms
Mediate the results
Returns the universe of the given concepts
Returns the inferred model type
Perform Sugeno inference on given terms
Perform Mamdani inference on a set of coefficients
Returns a list of firings
Set the variable
Add rules from a file
Adds rules
Set the output function
Aggregate the values
Evaluate the gaussian function
Add fuzzy set
Set the output value for a given name
Add a Linguistic variable
Set a variable
Set a constant
Add rules
Evaluate the term
Plot a variable
Aggregate the given list of variables

Get all kandi verified functions for this library.

simpful Key Features

No Key Features are available at this moment for simpful.

simpful Examples and Code Snippets

simpful,Usage example 1: controlling a gas burner with a Takagi-Sugeno fuzzy system

Python

Lines of Code : 26

License : Strong Copyleft (GPL-3.0)

Copy

import simpful as sf

# A simple fuzzy model describing how the heating power of a gas burner depends on the oxygen supply.

FS = sf.FuzzySystem()

# Define a linguistic variable.
S_1 = sf.FuzzySet( points=[[0, 1.],  [1., 1.],  [1.5, 0]],          te

simpful,Usage example 2: tipping with a Mamdani fuzzy system

Python

Lines of Code : 23

License : Strong Copyleft (GPL-3.0)

Copy

from simpful import *

FS = FuzzySystem()

TLV = AutoTriangle(3, terms=['poor', 'average', 'good'], universe_of_discourse=[0,10])
FS.add_linguistic_variable("service", TLV)
FS.add_linguistic_variable("quality", TLV)

O1 = TriangleFuzzySet(0,0,13,   t

Community Discussions

Trending Discussions on simpful

pip unable to install Scipy (or anything) (Python 3.10)

QUESTION

pip unable to install Scipy (or anything) (Python 3.10)

Asked 2021-Dec-27 at 02:10

I've been trying to download a lib called simpful. But I was just about start to python and I think I am missing something very basic. I searched for some sort of solution online for so long nothing worked for me yet. I haven't downloaded anything with pip before.pip version is 21.3 and python 3.10. I know its just and error log but perhaps someone could recognize it.

...

ANSWER

Answered 2021-Oct-21 at 10:28

down to the very bottom of the stack error:

Source https://stackoverflow.com/questions/69660123

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

Vulnerabilities

No vulnerabilities reported

Install simpful

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