index_under: Return indices to be used in original data for undersampling
In JOUSBoost: Implements Under/Oversampling for Probability Estimation
Description
Usage
Arguments
Value
Description
(note: sampling is done without replacement)
Usage
1
index_under(ix_pos, ix_neg, q, delta)
Arguments
ix_pos
Indices for positive examples in data.
ix_neg
Indices for negative examples in data.
q
Quantiles for which to construct tilted datasets.
delta
Number of quantiles.
Value
returns a list, each of element of which gives indices to be used on
a particular cut (note: will be of length delta - 1)
JOUSBoost documentation built on May 2, 2019, 6:03 a.m.
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Description Usage Arguments Value
Description
(note: sampling is done without replacement)
Usage
1 | index_under(ix_pos, ix_neg, q, delta)
|
Arguments
ix_pos |
Indices for positive examples in data. |
ix_neg |
Indices for negative examples in data. |
q |
Quantiles for which to construct tilted datasets. |
delta |
Number of quantiles. |
Value
returns a list, each of element of which gives indices to be used on a particular cut (note: will be of length delta - 1)
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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