Also, R6 is based on R environments... you can access the methods and fields like S3 (eff$field) and you can list what methods and fields the object has (ls(envir=eff)).
On March 17, 2020 3:13:22 PM PDT, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: >OP may find the help page [1] informative as to which fields are which. >I have never used the imp package. Note that the DESCRIPTION file >indicates that this package uses the R6 object system rather than the >more typical S3 or S4. > >[1] https://rdrr.io/cran/iml/man/FeatureEffect.html > >On March 17, 2020 12:26:33 PM PDT, Bert Gunter <bgunter.4...@gmail.com> >wrote: >>that is, read ?str carefully. >> >>data structures are fundamental to any programming language, so if you >>really aren't getting it, that's a signal that you need to spend some >>time >>with R tutorials. The R language Definition manual is a more >>comprehensive >>but of course more difficult resource to learn about such matters. I >>find >>it readable, however. Others may not. >> >>Bert Gunter >> >>"The trouble with having an open mind is that people keep coming along >>and >>sticking things into it." >>-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) >> >> >>On Tue, Mar 17, 2020 at 12:22 PM Bert Gunter <bgunter.4...@gmail.com> >>wrote: >> >>> ?str >>> >>> Bert Gunter >>> >>> "The trouble with having an open mind is that people keep coming >>along and >>> sticking things into it." >>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) >>> >>> >>> On Tue, Mar 17, 2020 at 12:19 PM Sparks, John <jspa...@uic.edu> >>wrote: >>> >>>> Hi R-Helpers, >>>> >>>> I have recently started working with the iml package (Interpretable >>>> Machine Learning) and its associated material, which I generally >>find very >>>> helpful. >>>> >>>> I want to recover some values out of the FeatureEffect Object >>created by >>>> this library, but the form of the object is completely foreign to >>me. >>>> >>>> As a reproducible example: >>>> >>>> >>>> set.seed(42) >>>> library("iml") >>>> library("randomForest") >>>> data("Boston", package = "MASS") >>>> rf = randomForest(medv ~ ., data = Boston, ntree = 50) >>>> >>>> X = Boston[which(names(Boston) != "medv")] >>>> predictor = Predictor$new(rf, data = X, y = Boston$medv) >>>> imp = FeatureImp$new(predictor, loss = "mae") >>>> eff = FeatureEffect$new(predictor, feature = "rm") >>>> eff >>>> >>>> >>>> Interpretation method: FeatureEffect >>>> features: rm[numerical] >>>> grid size: 20 >>>> >>>> Analysed predictor: >>>> Prediction task: unknown >>>> >>>> >>>> Analysed data: >>>> Sampling from data.frame with 506 rows and 13 columns. >>>> >>>> Head of results: >>>> .ale .type rm >>>> 1 -2.150574 ale 3.561 >>>> 2 -2.610528 ale 5.304 >>>> 3 -2.338677 ale 5.593 >>>> 4 -2.265673 ale 5.709 >>>> 5 -2.142912 ale 5.837 >>>> 6 -2.085899 ale 5.885 >>>> >>>> How can I refer to and get ahold of the table of 6 records above? >>>> >>>> I tried str(eff) and class(eff), but I am not familiar with the >>structure >>>> of the object(s). >>>> >>>> Would someone please tell me how to get inside the eff object, or >>point >>>> me to a reference as to what the class or structure of the object >>is? >>>> >>>> Thanks. >>>> --John Sparks >>>> >>>> [[alternative HTML version deleted]] >>>> >>>> ______________________________________________ >>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>> PLEASE do read the posting guide >>>> http://www.R-project.org/posting-guide.html >>>> and provide commented, minimal, self-contained, reproducible code. >>>> >>> >> >> [[alternative HTML version deleted]] >> >>______________________________________________ >>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>https://stat.ethz.ch/mailman/listinfo/r-help >>PLEASE do read the posting guide >>http://www.R-project.org/posting-guide.html >>and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
