DoSingleTrainingIteration: Train the graph learning model, using the specifications in...

In ncats/MultiOmicsGraphPrediction: Network-Based Ensemble Prediction from IntLIM Predictors

Train the graph learning model, using the specifications in the ModelResults class and storing the results in the ModelResults class.

Description

Train the graph learning model, using the specifications in the ModelResults class and storing the results in the ModelResults class.

Usage

DoSingleTrainingIteration(
  modelResults,
  prunedModels,
  minCutoff,
  maxCutoff,
  useCutoff = FALSE,
  weights,
  averaging = FALSE
)

Arguments

modelResults	An object of the ModelResults class.
prunedModels	The models that remain after pruning.
minCutoff	Mininum cutoff for the prediction.
maxCutoff	Maximum cutoff for the prediction.
useCutoff	Whether or not to use the cutoff for prediction. Default is FALSE.
weights	Current weights
averaging	If TRUE, then averaging is used to combine predictors rather than retaining the same functional form for both the input and the output.

ncats/MultiOmicsGraphPrediction documentation built on Aug. 23, 2023, 9:19 a.m.