make_mtry_series: Generate a Tuning Series of 'mtry' for 'randomForest()'
In chenyenchung/genofeatutil: Utilities for genomic feature manipulation
Description
Usage
Arguments
Value
Examples
Description
randomForest() implements a default value for
mtry determined by the number of predictors used. To examine the influence
of mtry on prediction accuracy, make_mtry_series() takes predictor
and response matrices and generate a series of mtry for use in a tune grid.
Let default value be N, make_mtry_series() makes a numeric vector
consisting 10, N/2, N, 2N, and the number of predictors provided.
the number of predictors.
Usage
1
make_mtry_series(x, y)
Arguments
x
a predictor matrix
y
a response matrix
Value
a numeric factor
Examples
1
make_mtry_series(x = iris[ , 1:4], y = iris[ , 5])
chenyenchung/genofeatutil documentation built on May 15, 2019, 10:38 p.m.
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Description Usage Arguments Value Examples
Description
randomForest() implements a default value for
mtry determined by the number of predictors used. To examine the influence
of mtry on prediction accuracy, make_mtry_series() takes predictor
and response matrices and generate a series of mtry for use in a tune grid.
Let default value be N, make_mtry_series() makes a numeric vector
consisting 10, N/2, N, 2N, and the number of predictors provided.
the number of predictors.
Usage
1 | make_mtry_series(x, y)
|
Arguments
x |
a predictor matrix |
y |
a response matrix |
Value
a numeric factor
Examples
1 | make_mtry_series(x = iris[ , 1:4], y = iris[ , 5])
|
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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