thresholdNu: A conservative threshold for classifying highly likely...
In benmack/iterOneClass: Iterative one-class classification for efficiently exploit unlabeled data
Description
...
Usage
1
thresholdNu(model, pred, method = "lowerWhisker", expand = 2)
Arguments
model
an object of class trainOcc.
pred
the predictions of the unlabeled samples.
method
a thresholding method. So far only lowerWhisker is implemented.
expand
change the threshold such that n_un_th*expand pixels remain unlabeled, where n_un_th is the number of samples (of pred) remaining unlabeled when applying the threshold determined by method.
benmack/iterOneClass documentation built on May 12, 2019, 12:57 p.m.
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Description
...
Usage
1 | thresholdNu(model, pred, method = "lowerWhisker", expand = 2)
|
Arguments
model |
an object of class |
pred |
the predictions of the unlabeled samples. |
method |
a thresholding method. So far only |
expand |
change the threshold such that |
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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