mlr3filters (version 0.1.0)

FilterCMIM: Minimal Conditional Mutual Information Filter

Description

Minimal conditional mutual information maximisation filter calling praznik::CMIM() from package praznik.

This filter supports partial scoring (see Filter).

Arguments

Format

R6::R6Class inheriting from Filter.

Construction

FilterCMIM$new()
mlr_filters$get("cmim")
flt("cmim")

See Also

Dictionary of Filters: mlr_filters

Other Filter: FilterAUC, FilterAnova, FilterCarScore, FilterCorrelation, FilterDISR, FilterImportance, FilterInformationGain, FilterJMIM, FilterJMI, FilterKruskalTest, FilterMIM, FilterMRMR, FilterNJMIM, FilterPerformance, FilterVariance, Filter, mlr_filters

Examples

Run this code
# NOT RUN {
task = mlr3::tsk("iris")
filter = flt("cmim")
filter$calculate(task, nfeat = 2)
as.data.table(filter)
# }

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