platt-package: This package performs Platt-scaling.
In bioinf-jku/platt: The package does Platt scaling.
Description
This package implements a fast and robust function to estimate the
parameters of a sigmoid function that can map prediction values from
arbitrary machine learning methods to probabilistic predictions.
Details
Package: platt
Type: Package
Version: 0.99.0
Date: 2015-01-07
License: LGPL (>= 2.0)
The package contains a testing data set MMP. The core function ist
"plattScaling" that fits the sigmoid function. Additionally the
functions "predictProb" is provided to map new values to the sigmoid and
the function "ensemble" combines multiple probabilstic predicitons into
one predcition.
Author(s)
Guenter Klambauer and Andreas Mayr.
Maintainer: <klambauer@bioinf.jku.at>
bioinf-jku/platt documentation built on May 12, 2019, 9:24 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This package implements a fast and robust function to estimate the parameters of a sigmoid function that can map prediction values from arbitrary machine learning methods to probabilistic predictions.
Details
| Package: | platt |
| Type: | Package |
| Version: | 0.99.0 |
| Date: | 2015-01-07 |
| License: | LGPL (>= 2.0) |
The package contains a testing data set MMP. The core function ist "plattScaling" that fits the sigmoid function. Additionally the functions "predictProb" is provided to map new values to the sigmoid and the function "ensemble" combines multiple probabilstic predicitons into one predcition.
Author(s)
Guenter Klambauer and Andreas Mayr.
Maintainer: <klambauer@bioinf.jku.at>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.