predictPopulation: Predicts the outcomes of a population of models in a dataset.

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Predicts the outcomes of a population of models in a dataset.

Description

This function evaluates the class of a population of models for a dataset X

Usage

predictPopulation(
  X,
  y,
  clf,
  pop,
  plot = FALSE,
  col = c("deepskyblue4", "firebrick4"),
  fill = c("deepskyblue1", "firebrick1")
)

Arguments

X:	dataset to predit
y:	the real y
pop:	a population of models. This can be an FBM for instance.
clf:	an object containing the different parameters of the classifier
plot:	logical (default:FALSE), returns a barplot for each sample with the prevalence of each class by the population of models
col:	manual scaling colors (default:'c("deepskyblue4", "firebrick4")').
fill:	manual scaling colors (default:'c("deepskyblue1", "firebrick1")').

Value

A dataframe of predicted classes with samples in columns and models in rows, 'if(plot = FALSE)'. Otherwise it will return a ggplot object.

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.