multipolyfit | A multivariate polynomial regression function in python | Data Visualization library

by mrocklin Python Version: 0.0.1 License: Non-SPDX

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

kandi X-RAY | multipolyfit Summary

multipolyfit is a Python library typically used in Analytics, Data Visualization applications. multipolyfit has no bugs, it has no vulnerabilities, it has build file available and it has low support. However multipolyfit has a Non-SPDX License. You can install using 'pip install multipolyfit' or download it from GitHub, PyPI.

Holds a python function to perform multivariate polynomial regression in Python using NumPy. [See related question on stackoverflow] This is similar to numpy’s polyfit function but works on multiple covariates.

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Support

multipolyfit has a low active ecosystem.

It has 49 star(s) with 17 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 655 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of multipolyfit is 0.0.1

Quality

multipolyfit has 0 bugs and 1 code smells.

Security

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

multipolyfit code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

multipolyfit has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

multipolyfit 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.

multipolyfit saves you 28 person hours of effort in developing the same functionality from scratch.

It has 77 lines of code, 9 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Fit a Gaussian model to data .
Creates a function that returns a Gaussian model function .
Create a basis vector
Creates a sympy function from beta coefficients .
Convert x to tall

Get all kandi verified functions for this library.

multipolyfit Key Features

No Key Features are available at this moment for multipolyfit.

multipolyfit Examples and Code Snippets

How to fit line of best fit to curve without multipolyfit or is there an alternate method

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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pip install https://github.com/mrocklin/multipolyfit.git --force-reinstall

Community Discussions

Trending Discussions on multipolyfit

How to fit line of best fit to curve without multipolyfit or is there an alternate method

QUESTION

How to fit line of best fit to curve without multipolyfit or is there an alternate method

Asked 2021-Mar-26 at 08:44

I found a question on here (Multivariate (polynomial) best fit curve in python?) which I believe would answer my question (I don't have any experience with curve fitting but I know my raw data will pretty much always be of this shape) but I cannot get multipolyfit installed fully. I have used 'pip install myltipolyfit' which worked, but when I run this script I get a traceback saying

Traceback

...

ANSWER

Answered 2021-Mar-26 at 08:44

The multipolyfit package on PyPI is likely for Python 2, from a brief glance at its code.

You may have more luck (when using Python 3; I do not recommend you use Python 2) when installing it directly from its repository page on GitHub:

Source https://stackoverflow.com/questions/66812721

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

Vulnerabilities

No vulnerabilities reported

Install multipolyfit

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