View source: R/PepFeatureSelect.R
FeatureSeByFilter | R Documentation |
Title
FeatureSeByFilter( dataset = MLtestData, target = "judge", taskid = "FeatureSeByFilter", filtermethod = c("anova", "auc", "cmim", "disr", "find_correlation", "importance", "information_gain", "jmi", "jmim", "kruskal_test", "mim", "mrmr", "njmim", "performance", "permutation", "relief", "variance"), parallele = FALSE, nthreads = 4 )
dataset |
A dataframe of Machine Learing test dataset |
target |
A character of column name in dataset |
taskid |
A character of taskid |
filtermethod |
A vector of filtering methods, each character should be one of mlr_filters$keys,which filter methods should be used,all filters method could be found by mlr_filters_, |
parallele |
A logical TRUE or FALSEļ¼ Whether to parallelize. default is FALSE in mlr3 package |
nthreads |
if parallele is TRUE, the nthreads will be worked. |
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