ESPOParaBar: Generate samples by ESPO algorithm.
In lweicdsor/OSTSC: Over Sampling for Time Series Classification
Description
Usage
Arguments
Value
Description
Generate samples by ESPO algorithm.
Usage
1
ESPOParaBar(me, v, dMod, p, n, r, m, numToGen)
Arguments
me
Mean vector of positive class
v
Eigen axes matrix (Each axis is a column vector)
dMod
Modified Eigen Spectrum Value
p
The minority class samples
n
The majority class samples
r
A scalar specifying which level (towards the boundary) we shall push the synethetic data,
with the default value = 1
m
Scalar specifies the reliable portion of the eigen spectrum
numToGen
The number of samples to be generated
Value
sampleESPO
lweicdsor/OSTSC documentation built on May 8, 2019, 1:13 p.m.
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Description Usage Arguments Value
Description
Generate samples by ESPO algorithm.
Usage
1 | ESPOParaBar(me, v, dMod, p, n, r, m, numToGen)
|
Arguments
me |
Mean vector of positive class |
v |
Eigen axes matrix (Each axis is a column vector) |
dMod |
Modified Eigen Spectrum Value |
p |
The minority class samples |
n |
The majority class samples |
r |
A scalar specifying which level (towards the boundary) we shall push the synethetic data, with the default value = 1 |
m |
Scalar specifies the reliable portion of the eigen spectrum |
numToGen |
The number of samples to be generated |
Value
sampleESPO
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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