- Minor housekeeping
-
Support of
randomForest
andranger
models which have been created usingparsnip
-
Fix class checking for when formula notation is used in randomForest
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Significant reduction in compute time for calculating false positive rates by sampling only unique selection frequencies
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Addition of
tidy
tools (dplyr, tibble, magrittr)
internals
now implemented in C++ viaRcpp
thanks to Dr Jasen Finch (@jasenfinch)
-
Implemented Strategy-1 from Konukoglu,E. and Ganz,M.,2014. Approximate false positive rate control in selection frequency for random forest
-
Support for
randomForest
andranger
forest objects -
Calculate selection frequency threshold for a given false positive rate (alpha)
-
False positive rate feature selection
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Wrapper for selection frequencies extract from objects