trainMod: Train a classifier
In gaolong/arvin: Annotation of Regulatory Variants using Integrated Networks
Description
Usage
Arguments
Value
Description
This function trains a random forest classifier using different types of features
Usage
1
trainMod(FeatureMatrix)
Arguments
FeatureMatrix
a matrix of feature values plus the last column indicating positive or negative snps
Value
a random forest classifier
gaolong/arvin documentation built on May 28, 2019, 8:41 p.m.
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Description Usage Arguments Value
Description
This function trains a random forest classifier using different types of features
Usage
1 | trainMod(FeatureMatrix)
|
Arguments
FeatureMatrix |
a matrix of feature values plus the last column indicating positive or negative snps |
Value
a random forest classifier
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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