Stage2_FeartureSelection | R Documentation |
Stage 2 Fearture Selection
Stage2_FeartureSelection(
Stage2_FeartureSelection_Method = "RemoveHighcor",
data = NULL,
label = NULL,
cutoff = NULL,
preMode = NULL,
classifier = NULL,
verbose = TRUE,
cores = 1
)
Stage2_FeartureSelection_Method |
Feature selection methods. Available options are c(NULL, 'cor', 'wilcox.test','cor_rank','wilcox.test_rank','RemoveHighcor', 'RemoveLinear'). |
data |
The input training dataset. The first column is the label. |
label |
The label of dataset |
cutoff |
The cutoff used for feature selection threshold. It can be any value between 0 and 1. |
preMode |
The prediction mode. "Currently only supports 'probability' for binary classification tasks." |
classifier |
Learners in mlr3 |
verbose |
Whether to print running process information to the console |
cores |
The number of cores used for computation. |
Column index of feature
Shunjie Zhang
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