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.4567 at 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 <jspark4 at 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 at 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]]
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.4567 at 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.4567 at 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 <jspark4 at 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 at 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 at 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.
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 <jdnewmil at 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.4567 at 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.4567 at 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 <jspark4 at 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 at 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 at 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.