predict_model: predict_model
In CalibratR: Mapping ML Scores to Calibrated Predictions
Description
Usage
Arguments
Value
View source: R/predict_model.R
Description
calibrates the uncalibrated predictions new using calibration_model.
Usage
1
predict_model(new, calibration_model, min, max, mean, inputtype)
Arguments
new
vector of uncalibrated predictions
calibration_model
calibration model to be used for the calibration. Can be the output of build_BBQ,build_hist_binning or build_GUESS.
min
minimum value of the original data set
max
maximum value of the original data set
mean
mean value of the original data set
inputtype
specify if the model was build on original (=0), scaled(=1) or transformed (=2) data
Value
vector of calibrated predictions
CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.
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Description Usage Arguments Value
View source: R/predict_model.R
Description
calibrates the uncalibrated predictions new using calibration_model.
Usage
1 | predict_model(new, calibration_model, min, max, mean, inputtype)
|
Arguments
new |
vector of uncalibrated predictions |
calibration_model |
calibration model to be used for the calibration. Can be the output of |
min |
minimum value of the original data set |
max |
maximum value of the original data set |
mean |
mean value of the original data set |
inputtype |
specify if the model was build on original (=0), scaled(=1) or transformed (=2) data |
Value
vector of calibrated predictions
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.
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