verified_calibration | Calibration library and code for the paper

by p-lambda Python Version: Current License: MIT

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

kandi X-RAY | verified_calibration Summary

verified_calibration is a Python library. verified_calibration has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However verified_calibration has 1 bugs. You can download it from GitHub.

Measuring the calibration error of a model is as simple as:.

Support

Quality

Security

License

Reuse

Support

verified_calibration has a low active ecosystem.

It has 56 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 55 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of verified_calibration is current.

Quality

verified_calibration has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 41 code smells.

Security

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

verified_calibration code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

verified_calibration 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

verified_calibration 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, examples and code snippets are available.

verified_calibration saves you 711 person hours of effort in developing the same functionality from scratch.

It has 1643 lines of code, 167 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Calibration for marginalization .
Builds the network .
Generate a synthetic model .
Lower bounding experiment .
Calculate the CE function .
Compares two data arrays .
Calculate the comparison between the two labels .
Plot the MSE curve .
Train the calibration .
r Lower Bound Scaling .

Get all kandi verified functions for this library.

verified_calibration Key Features

No Key Features are available at this moment for verified_calibration.

verified_calibration Examples and Code Snippets

No Code Snippets are available at this moment for verified_calibration.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install verified_calibration

The calibration library requires python 3.6 or higher at the moment because we make use of the Python 3 optional typing mechanism. If your project requires an earlier of version of python, and you wish to use our library, please contact us.

Support

Please feel free to ask us questions, submit bug reports, or contribute push requests. Feel free to submit a brief description of a push request before you implement it to get feedback on it, or see how it can fit into our project.

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