calibrate_me: calibrate_me
In CalibratR: Mapping ML Scores to Calibrated Predictions
Description
Usage
Arguments
Value
Description
trains calibration models on the training set of predicted/actual value pairs.model_idx specifies which models should be trained.
Usage
1
calibrate_me(actual, predicted, model_idx)
Arguments
actual
vector of observed class labels (0/1)
predicted
vector of uncalibrated predictions
model_idx
a single number from 1 to 5, indicating which calibration model should be implemented, 1=hist_scaled, 2=hist_transformed, 3=BBQ_scaled, 4=BBQ_transformed, 5=GUESS
Value
depending on the value of model_idx, the respective calibration model is build on the input from actual and predicted
CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.
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Description Usage Arguments Value
Description
trains calibration models on the training set of predicted/actual value pairs.model_idx specifies which models should be trained.
Usage
1 | calibrate_me(actual, predicted, model_idx)
|
Arguments
actual |
vector of observed class labels (0/1) |
predicted |
vector of uncalibrated predictions |
model_idx |
a single number from 1 to 5, indicating which calibration model should be implemented, 1=hist_scaled, 2=hist_transformed, 3=BBQ_scaled, 4=BBQ_transformed, 5=GUESS |
Value
depending on the value of model_idx, the respective calibration model is build on the input from actual and predicted
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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