roc_curve_with_confidence_intervals

by RaulSanchezVazquez Python Version: Current License: No License

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kandi X-RAY | roc_curve_with_confidence_intervals Summary

roc_curve_with_confidence_intervals is a Python library. roc_curve_with_confidence_intervals has no bugs, it has no vulnerabilities and it has low support. However roc_curve_with_confidence_intervals build file is not available. You can download it from GitHub.

roc_curve_with_confidence_intervals

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Support

roc_curve_with_confidence_intervals has a low active ecosystem.

It has 4 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

roc_curve_with_confidence_intervals has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of roc_curve_with_confidence_intervals is current.

Quality

roc_curve_with_confidence_intervals has no bugs reported.

Security

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

License

roc_curve_with_confidence_intervals does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

roc_curve_with_confidence_intervals releases are not available. You will need to build from source code and install.

roc_curve_with_confidence_intervals has no build file. You will be need to create the build yourself to 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 roc_curve_with_confidence_intervals and discovered the below as its top functions. This is intended to give you an instant insight into roc_curve_with_confidence_intervals implemented functionality, and help decide if they suit your requirements.

Calculates the confidence interval
Compute weighted weights from pred_sorted vectors
Implementation of FastDeLong
Compute the midrank index of x
Compute the mid rank weight of a weighted rank matrix
Calculate Rongov variance
Compute the ground truth score
Implementation of FastDeLong
Evaluate the DeLong correlation
Calculate the p - value of aucible distribution

Get all kandi verified functions for this library.

roc_curve_with_confidence_intervals Key Features

No Key Features are available at this moment for roc_curve_with_confidence_intervals.

roc_curve_with_confidence_intervals Examples and Code Snippets

No Code Snippets are available at this moment for roc_curve_with_confidence_intervals.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install roc_curve_with_confidence_intervals

You can download it from GitHub.
You can use roc_curve_with_confidence_intervals 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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