| DaMiR.EnsembleLearning2cl_Test {DaMiRseq} | R Documentation |
This function tests the models learned by the DaMiR.EnsembleLearning2cl_Training function, on a test set
DaMiR.EnsembleLearning2cl_Test(data, classes, models_List)
data |
A data frame of normalized expression data. Rows and Cols should be, respectively, observations and features |
classes |
A class vector with |
models_List |
A list with the models trained by DaMiR.EnsembleLearning2cl_Training function. |
This function implements the test step of DaMiR.EnsembleLearning2cl function
A dataframe containing the predictions on the testset
Mattia Chiesa, Luca Piacentini
# use example data:
data(selected_features)
data(df)
set.seed(1)
# only for the example:
# speed up the process setting a low 'iter' argument value;
# for real data set use default 'iter' value (i.e. 100) or higher:
# Tr_res <- DaMiR.EnsembleLearning2cl_Training(
# selected_features,classes=df$class, fSample.tr.w=0.6, iter=3,
# cl_type=c("RF","LR"))
# DaMiR.EnsembleLearning2cl_Test(selected_features, classes=df$class,
# Tr_res)