Dear Thomas,
If your .asc file is a raster (Esri ASCII raster format), you may
consider the functions 'raster' in the raster package or 'read_starts'
in the star package.
Otherwise (or even) 'scan' or 'read.table' from base/utils may be your
friends.
Best,
François
Le 20/05/2022 à
Hello,
I'm getting an error when running your code:
learner = lrn("classif.randomForest", predict_type = "prob")
#> Error: Element with key 'classif.randomForest' not found in
DictionaryLearner!
Rui Barradas
Às 14:12 de 20/05/2022, Neha gupta escreveu:
When I run
print(fc)
it shows
Hm,
what do **you** mean by fraction
This is what you posted
> >> >Error in if (fraction <= 1) { : missing value where TRUE/FALSE
> >> >needed
On May 19, 2022 2:30:58 PM PDT, Neha gupta
I just showed that if object **fraction** is NA, it results exactly in the
error you posted. From where is
Actually it's found in a library (mlr3extralearners). I have already
imported this library in my code.
On Friday, May 20, 2022, Rui Barradas wrote:
> Hello,
>
> I'm getting an error when running your code:
>
> learner = lrn("classif.randomForest", predict_type = "prob")
> #> Error: Element with
A google search returned a stack overflow page that might help.
stackoverflow.com/questions/20177581/reading-an-asc-file-into-r
(add the https part to get a functional link.)
I would also try looking at the file using something like notebook, or any
program that is a plain text editor. That way
On 20.05.2022 15:27, Thomas Subia via R-help wrote:
Colleagues,
I have data which has a .asc file extension.
asc likely means ASCII and can be any kind of text data, so wed need
some contents to suggest a function. But any for text files should work.
Best,
Uwe Ligges
Can R read that
When I run
print(fc)
it shows 'Inf'. It mean it doesn't calculate the bias/fairness, maybe due
to missing values.
RF passes 1/5 metrics
Total loss : Inf
On Fri, May 20, 2022 at 3:06 PM Rui Barradas wrote:
> Hello,
>
> This is a frequent way of coding and a source for questions.
>
>
>
Hi
Strange, you say
> prot <- ifelse(test$CE == '2', 1, 0) /// Error comes here
but with your data
ifelse(test$CE == '2', 1, 0)
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1
[38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
0 0
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