format_values

cases

control

single integer (0, 1 or 2). specify if the input should be formatted (=0), formatted and scaled (=1)
or formatted and transformed (=2)

input

min value of the original data set, default=calculated on input

max value of the original data set, default=calculated on input

mean value of the original data set, default=calculated on input

mean

returns formatted input.
If specified, the uncalibrated input is mapped to the [0;1] range using scaling (<code><a rd-options="" href="/link/scale_me?package=CalibratR&version=0.1.2" data-mini-rdoc="CalibratR::scale_me">scale_me</a></code>) or transforming (<code><a rd-options="" href="/link/transform_me?package=CalibratR&version=0.1.2" data-mini-rdoc="CalibratR::transform_me">transform_me</a></code>)

Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.

Dominik Heider

CalibratR

Mapping ML Scores to Calibrated Predictions

format_values function

returns formatted input.
If specified, the uncalibrated input is mapped to the [0;1] range using scaling (<code><a rd-options='' href='scale_me'>scale_me</a></code>) or transforming (<code><a rd-options='' href='transform_me'>transform_me</a></code>)

format_values: format_values

Description

Usage

Arguments

Value