CompositePrediction: Obtain a prediction from a composite model, given the pairs...

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

Obtain a prediction from a composite model, given the pairs to include in the model.

Description

Obtain a prediction from a composite model, given the pairs to include in the model.

Usage

CompositePrediction(
  pairs,
  modelResults,
  minCutoff,
  maxCutoff,
  useCutoff = FALSE,
  weights,
  targets,
  sources,
  averaging = FALSE,
  zeroOut = FALSE
)

Arguments

pairs	A list of pairs to include in the composite model.
modelResults	A ModelResults object.
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	The weight for each predictor, calculated using ComputeMetaFeatureWeights()
targets	Target analytes for all pairs
sources	Source analytes for all pairs
averaging	If TRUE, then averaging is used to combine predictors rather than retaining the same functional form for both the input and the output.
zeroOut	This parameter zeros out predictors outside of the allowed range.

Value

A final predicted value for each sample in the input data

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