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.
