[R] Get Data Table from iml FeatureEffect Object

[Jeff Newmiller]

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 using 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 using 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 using 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 using 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 using 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 using 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.