problem.joint.train: problem joint train
In tdhock/PeakSegPipeline: Genome-Wide Peak Prediction Using Supervised Learning and Optimal Segmentation
Description
Usage
Arguments
Value
Author(s)
Description
Learn a penalty function for joint peak prediction.
Usage
1
2
3
problem.joint.train(data.dir,
verbose = getOption("PeakSegPipeline.verbose",
1))
Arguments
data.dir
project directory.
verbose
Value
Nothing.
Author(s)
Toby Dylan Hocking
tdhock/PeakSegPipeline documentation built on March 3, 2020, 1:35 a.m.
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Description Usage Arguments Value Author(s)
Description
Learn a penalty function for joint peak prediction.
Usage
1 2 3 | problem.joint.train(data.dir,
verbose = getOption("PeakSegPipeline.verbose",
1))
|
Arguments
data.dir |
project directory. |
verbose |
Value
Nothing.
Author(s)
Toby Dylan Hocking
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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