kernel_extrap: KDE-based extrapolator for multi-class classification...
In snarles/ClassEx: Extrapolation Methods for Multiclass Classification Accuracy
Description
KDE-based extrapolator for multi-class classification accuracy based on Kay (2008)
Usage
1
kernel_extrap(pmat, i_chosen, Ks, bw)
Arguments
pmat
Matrix of margins m_y(x) for test instances, rows are observations and columns are labels.
i_chosen
The true labels for the observations.
Ks
The number of classes k for which we want to extrpolate the accuracy AGA_k (can be a vector).
bw
Bandwidth estimation method: see help("bw.nrd")
snarles/ClassEx documentation built on May 6, 2019, 9:55 a.m.
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Description
KDE-based extrapolator for multi-class classification accuracy based on Kay (2008)
Usage
1 | kernel_extrap(pmat, i_chosen, Ks, bw)
|
Arguments
pmat |
Matrix of margins m_y(x) for test instances, rows are observations and columns are labels. |
i_chosen |
The true labels for the observations. |
Ks |
The number of classes k for which we want to extrpolate the accuracy AGA_k (can be a vector). |
bw |
Bandwidth estimation method: see help("bw.nrd") |
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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