lmdiag | Python Library providing Diagnostic Plots for Linear

by dynobo Python Version: 0.3.7 License: MIT

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

kandi X-RAY | lmdiag Summary

lmdiag is a Python library. lmdiag 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 lmdiag' or download it from GitHub, PyPI.

Python Library providing Diagnostic Plots for Linear Regression

Support

Quality

Security

License

Reuse

Support

lmdiag has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lmdiag is 0.3.7

Quality

lmdiag has 0 bugs and 0 code smells.

Security

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

lmdiag code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lmdiag 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

lmdiag releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 281 lines of code, 16 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Plot a matplotlib figure
Visualize residuals
Generate Q - Q Q - Q plot
Function to plot the scale loc
Function to plot residuals
Return the value of the given linear regression model
Calculate the recipe s derivative
Return the residuals of the model
Calculate the residuals
Print information about the plot
Print a description of a plot
Returns the normalized quantiles of the fitted values
Returns the fitted values
Computes the squared absolute residuals
Get the standard residual residuals
Returns the squared absolute residuals
Return the README rst file

Get all kandi verified functions for this library.

lmdiag Key Features

No Key Features are available at this moment for lmdiag.

lmdiag Examples and Code Snippets

No Code Snippets are available at this moment for lmdiag.

Community Discussions

No Community Discussions are available at this moment for lmdiag.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install lmdiag

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