min_max_normalize: Min-Max Normalization
In E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
min_max_normalize R Documentation
Min-Max Normalization
Description
Performs linear transformation of data to the range 0 to 1.
Essential for stacking ensembles to normalize risk scores from heterogeneous base learners.
Usage
min_max_normalize(x, min_val = NULL, max_val = NULL)
Arguments
x
A numeric vector.
min_val
Optional reference minimum value (e.g., from training set).
max_val
Optional reference maximum value (e.g., from training set).
Value
A numeric vector of normalized values.
E2E documentation built on March 22, 2026, 1:07 a.m.
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| min_max_normalize | R Documentation |
Min-Max Normalization
Description
Performs linear transformation of data to the range 0 to 1. Essential for stacking ensembles to normalize risk scores from heterogeneous base learners.
Usage
min_max_normalize(x, min_val = NULL, max_val = NULL)
Arguments
x |
A numeric vector. |
min_val |
Optional reference minimum value (e.g., from training set). |
max_val |
Optional reference maximum value (e.g., from training set). |
Value
A numeric vector of normalized values.
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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