evaluatePopulation: evaluatePopulation
In predomics/predomicspkg: Interpretable Prediction in Omics Data

evaluatePopulation

R Documentation

evaluatePopulation

Description

Evaluates an entire population of models, that be predomics objects or individuals

Usage

evaluatePopulation(
  X,
  y,
  clf,
  pop,
  eval.all = FALSE,
  force.re.evaluation = FALSE,
  estim.feat.importance = FALSE,
  mode = "train",
  delete.null.models = TRUE,
  lfolds = NULL
)

Arguments

`X:`	the data matrix with variables in the rows and observations in the columns
`y:`	the class vector
`clf:`	the object containing the classifier information
`pop:`	the population of models to be evaluated
`eval.all:`	should the function evaluate all the scores for each of the models (default:FALSE)
`force.re.evaluation:`	re-evaluate all the scores even if they exist for each of the models (default:FALSE)
`estim.feat.importance:`	evaluate the importance in the model object for each of the models (default:FALSE)
`mode:`	A choice from c("train", "test") indicates wether we wish to learn the threthold of each of the models (default:"train") or not "test" for the c("terinter","bininter","ratio") languages
`delete.null.models:`	should null indivuals be deleted (default:TRUE)
`lfolds:`	compute evaluation in crossval (default:NULL)