classify: Classifier
In svilsen/RWNN: Random Weight Neural Networks
View source: R/auxiliary_functions.R
classify R Documentation
Classifier
Description
Function classifying an observation.
Usage
classify(y, C, t = 0, b = 0)
Arguments
y
A matrix of predicted classes.
C
A vector of class names corresponding to the columns of y.
t
The decision threshold which the predictions have to exceed (defaults to '0.0').
b
A buffer which the largest prediction has to exceed when compared to the second largest prediction (defaults to '0.0').
Value
A vector of class predictions.
svilsen/RWNN documentation built on Feb. 23, 2025, 3:17 p.m.
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View source: R/auxiliary_functions.R
| classify | R Documentation |
Classifier
Description
Function classifying an observation.
Usage
classify(y, C, t = 0, b = 0)
Arguments
y |
A matrix of predicted classes. |
C |
A vector of class names corresponding to the columns of |
t |
The decision threshold which the predictions have to exceed (defaults to '0.0'). |
b |
A buffer which the largest prediction has to exceed when compared to the second largest prediction (defaults to '0.0'). |
Value
A vector of class 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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