trainModel: Train a Model Based on the Data in an S4 Object
In bhklab/PDATK: Pancreatic Ductal Adenocarcinoma Tool-Kit
Description
Usage
Arguments
Value
Examples
Description
Train a Model Based on the Data in an S4 Object
Usage
1
trainModel(object, ...)
Arguments
object
An S4 object representing an untrained statistical or machine.
learning model.
...
Allow new method to be defined for this generic.
Value
The same object with the @model slot populated with the fit model
Examples
1
2
3
4
5
6
7
data(samplePCOSPmodel)
set.seed(getModelSeed(samplePCOSPmodel))
# Set parallelization settings
BiocParallel::register(BiocParallel::SerialParam())
trainModel(samplePCOSPmodel, numModels=5, minAccuracy=0.6)
bhklab/PDATK documentation built on Dec. 27, 2021, 7:46 a.m.
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Description Usage Arguments Value Examples
Description
Train a Model Based on the Data in an S4 Object
Usage
1 | trainModel(object, ...)
|
Arguments
object |
An |
... |
Allow new method to be defined for this generic. |
Value
The same object with the @model slot populated with the fit model
Examples
1 2 3 4 5 6 7 | data(samplePCOSPmodel)
set.seed(getModelSeed(samplePCOSPmodel))
# Set parallelization settings
BiocParallel::register(BiocParallel::SerialParam())
trainModel(samplePCOSPmodel, numModels=5, minAccuracy=0.6)
|
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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