populationToDataFrame

For each model in the list of models it will extract each attribute and create a dataframe needed for further exploration

Usage

populationToDataFrame(
  pop,
  attributes = c("learner", "language", "fit_", "unpenalized_fit_", "auc_", "accuracy_",
    "cor_", "aic_", "intercept_", "eval.sparsity", "sign_", "precision_", "recall_",
    "f1_")
)

Arguments

pop:

a list of model objects, (i.e a population of models)

attributes:

the list of attributes that we wish to have in the data.frame (default:"learner","language","fit_", "unpenalized_fit_", "auc_", "accuracy_", "cor_", "aic_", "intercept_", "eval.sparsity", "sign_","precision_", "recall_","f1_")

Value

an data frame with attributes for each model