pyfit | Computational modeling fitting in python
kandi X-RAY | pyfit Summary
kandi X-RAY | pyfit Summary
pyfit is a Python library. pyfit has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyfit has a Non-SPDX License. You can download it from GitHub.
At it's core this toolbox requires a user to have some data to model, and an objective function to try to fit to the data via optimization routines built into scipy. This toolbox uses some of the core functionality of the great lmfit package which itself wraps scipy.optimize. While access to highly customizable optimization is mostly possible by passing in the relevant scipy optimizer arguments and settings, it might be more beneficial to use either of those two packages if complete customization is what you're after.
At it's core this toolbox requires a user to have some data to model, and an objective function to try to fit to the data via optimization routines built into scipy. This toolbox uses some of the core functionality of the great lmfit package which itself wraps scipy.optimize. While access to highly customizable optimization is mostly possible by passing in the relevant scipy optimizer arguments and settings, it might be more beneficial to use either of those two packages if complete customization is what you're after.
Support
Quality
Security
License
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Support
pyfit has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyfit is current.
Quality
pyfit has no bugs reported.
Security
pyfit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pyfit 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.
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pyfit releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed pyfit and discovered the below as its top functions. This is intended to give you an instant insight into pyfit implemented functionality, and help decide if they suit your requirements.
- Fit the model .
- Fit the model to a group .
- Prints the summary of the fit
- Initialize an objective function .
- Logarithm of the log likelihood .
- SSE between yhat and yhat
Get all kandi verified functions for this library.
pyfit Key Features
No Key Features are available at this moment for pyfit.
pyfit Examples and Code Snippets
No Code Snippets are available at this moment for pyfit.
Community Discussions
No Community Discussions are available at this moment for pyfit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyfit
You can download it from GitHub.
You can use pyfit 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.
You can use pyfit 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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