estimagic | Python package for nonlinear optimization

by OpenSourceEconomics Python Version: 0.4.6 License: MIT

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

kandi X-RAY | estimagic Summary

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

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Support

Quality

Security

License

Reuse

Support

estimagic has a low active ecosystem.

It has 162 star(s) with 22 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 115 have been closed. On average issues are closed in 92 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of estimagic is 0.4.6

Quality

estimagic has 0 bugs and 0 code smells.

Security

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

estimagic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

estimagic 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

estimagic releases are available to install and integrate.

Deployable package is available in PyPI.

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

estimagic saves you 3084 person hours of effort in developing the same functionality from scratch.

It has 6642 lines of code, 513 functions and 83 files.

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

Top functions reviewed by kandi - BETA

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

Wrapper function
Determine the aggregator
Adjusts the radius based on rho
Get a sample filter
Wrapper for nag_dfols
Create nag advanced options
Decorator to adjust noise per point
Build options dictionary
R Estimator
Wrapper for nagarqa
R Bayesian Gaussian Distribution
Crossers algorithm
Generate a dashboard
Convert external derivative to internal representation
Mark a function as minimizer
Gaussian Probability Optimization
Robustly model
Wrapper function for a PyGMO
Wrapper function for pygmo_sade
R Bayesian Coefficient
Plot a time series
Wrapper function for pygmo_de
Wrapper for pathos_evaluator
Reset convergence plot
Update convergence plots
Solve a problem using solver

Get all kandi verified functions for this library.

estimagic Key Features

No Key Features are available at this moment for estimagic.

estimagic Examples and Code Snippets

No Code Snippets are available at this moment for estimagic.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install estimagic

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