fitter_svm: Wrapper to SVM training. Defined separetely to avoid passing...
In ebecht/infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
View source: R/04_regression_all.R
fitter_svm R Documentation
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Description
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
fitter_svm(x = NULL, params = NULL)
Arguments
x
passed from fit_regressions
params
passed from fit_regressions
Value
A list with two elements: predictions and a fitted model
Examples
fitter_svm()
ebecht/infinityFlow documentation built on Jan. 31, 2024, 11:31 p.m.
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View source: R/04_regression_all.R
| fitter_svm | R Documentation |
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Description
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
fitter_svm(x = NULL, params = NULL)
Arguments
x |
passed from fit_regressions |
params |
passed from fit_regressions |
Value
A list with two elements: predictions and a fitted model
Examples
fitter_svm()
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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