fitter_xgboost: Wrapper to XGBoost training. Defined separetely to avoid...
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 XGBoost training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
1
fitter_xgboost(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.
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.
Description Usage Arguments Value Examples
View source: R/04_regression_all.R
Description
Wrapper to XGBoost training. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
1 | fitter_xgboost(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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.