?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.