fitter_nn: Wrapper to Neural Network training. Defined separetely to...

In ebecht/infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions

Wrapper to Neural Network training. Defined separetely to avoid passing too many objects in parLapplyLB

Description

Wrapper to Neural Network training. Defined separetely to avoid passing too many objects in parLapplyLB

Usage

fitter_nn(x, params)

Arguments

x	passed from fit_regressions. Defines model architecture
params	passed from fit_regressions

Value

A list with two elements: predictions and a fitted model

Examples

fitter_xgboost()

ebecht/infinityFlow documentation built on Jan. 31, 2024, 11:31 p.m.