ml1: train best model using gird search and vfold-CV
In orionzhou/rmaize: Common bioinformatic utilities
Description
train best model using gird search and vfold-CV
Usage
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ml1(
ti,
alg = "rf",
split_prop = 0.9,
fold = 10,
nlevel = 3,
cpu = 1,
seed = 26
)
orionzhou/rmaize documentation built on Jan. 14, 2022, 10:36 p.m.
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Description
train best model using gird search and vfold-CV
Usage
1 2 3 4 5 6 7 8 9 | ml1(
ti,
alg = "rf",
split_prop = 0.9,
fold = 10,
nlevel = 3,
cpu = 1,
seed = 26
)
|
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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