I am sorry for that.
I used
library(farff)
library(mlr3learners)
library(mlr3filters)
library(mlr3extralearners)
library(mlr3)
library(DALEX)
library(DALEXtra)
data = readARFF("ant.arff")
index= sample(1:nrow(data), 0.7*nrow(data))
train= data[index,]
test= data[-index,]
task = TaskRegr$new("data", backend = train, target = "bug")
learner= lrn("regr.randomForest")
model= learner$train(task )
explainer = explain_mlr3(model,
data = test[,-16],
y = as.numeric(test$bug)-1,
label="RF")
m=model_profile(explainer = explainer, variables = "rfc")
plot(m)
Ant it shows a plot, with values of x axis (bug) and y axis (rfc)
I can manually see what is the value of bug at rfc=75, but I need the exact
value and by seeing the plot and guessing the rfc=75 value for bug might
not be the exact value I need.
Thank you
On Fri, May 27, 2022 at 9:39 AM Rui Barradas <ruipbarra...@sapo.pt> wrote:
> Hello,
>
> Neha, it's not the first time you post questions to R-Help, please,
> please!, start your scripts by loading the packages needed.
>
> I have never used package DALEX but for what I understand from its
> documentation it helps to explore and explain models behavior. If your
> profile plot was output by method plot.model_profile(), the workflow is
> or seems to be
>
> 1. fit a model;
> 2. create an object of S3 class "model_profile" with functions explain()
> and model_profile();
> 3. plot that object.
>
>
> So to know what is the value of y for a given x, predict from the fitted
> model, package DALEX and its plots have nothing to do with it.
> If there's a predict method for the fitting function, then it should be
> as simple as
>
>
> newdata75 <- data.frame(x = 75)
> y75 <- predict(fit, newdata = newdata75)
>
>
> or something similar.
>
> I have never used this package so I might be completely wrong.
>
> Hope this helps,
>
> Rui Barradas
>
> Às 08:09 de 27/05/2022, Neha gupta escreveu:
> > Thank you Rui, Avi
> >
> > I am using the plot(), in the Dalex package and it implements the ggplot.
> >
> > So I only used plot(mydata) and it displays the ggplot . If we need to
> > adjust or make further changes in the plot, I think people use
> >
> > plot + .....
> > I don't know if this group support the image pasting but my plot is
> > showing like below. (bugs is a variable in my data whose values are
> > displayed on y-axis and RFC is another variable in my dataset whose
> > value is shown on the x-axis. I want to know exactly (not necessarily
> > using the plot, a simple print function should also work for me) what is
> > the value of 'bug' when the value of 'rfc' is 75.
> >
> > image.png
> >
> >
> > On Fri, May 27, 2022 at 7:49 AM Rui Barradas <ruipbarra...@sapo.pt
> > <mailto:ruipbarra...@sapo.pt>> wrote:
> >
> > Hello,
> >
> > If you cannot determine the exact value of y for given x, then isn't
> > your problem how to determine an approximate value of y? Once you
> have
> > it, it's easy to plot it.
> >
> > With newdata = data.frame(x = 75, y = ???),
> >
> >
> > ggplot(mydata, mapping = aes(x, y)) +
> > geom_point(color = "black") +
> > geom_point(newdata, mapping = aes(x, y), color = "red") +
> > xlim(0, 200)
> >
> >
> > The question is how to find newdata$y, interpolation, other method?
> >
> > Hope this helps,
> >
> > Rui Barradas
> >
> > Às 00:40 de 27/05/2022, Neha gupta escreveu:
> > > I have a ggplot2 which has x-values 0-200 and y values 0-10
> > >
> > > p=plot(mydata)
> > > p+xlim(0, 200)
> > >
> > > I want to show what is the y value when we have 75 as x value.
> > The graph
> > > which is displayed has a broad range (like 0-50, 50-100 etc on x
> > axis) and
> > > cannot determine the exact value of y at the value of 75 on
> x-axis.
> > >
> > > Thank you
> > >
> > > [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-help@r-project.org <mailto:R-help@r-project.org> mailing list
> > -- To UNSUBSCRIBE and more, see
> > > https://stat.ethz.ch/mailman/listinfo/r-help
> > <https://stat.ethz.ch/mailman/listinfo/r-help>
> > > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > <http://www.R-project.org/posting-guide.html>
> > > and provide commented, minimal, self-contained, reproducible code.
> >
>
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