fitter_svm: Wrapper to SVM training. Defined separetely to avoid passing...
In infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Description
Usage
Arguments
Value
Examples
View source: R/04_regression_all.R
Description
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
1
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
1
infinityFlow documentation built on Nov. 8, 2020, 8:25 p.m.
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Description Usage Arguments Value Examples
View source: R/04_regression_all.R
Description
Wrapper to SVM training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
1 | 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
1 |
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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