Dear community
I have a dataframe and want to split it into a learn and a test partition.
However the learnset should be balanced, i.e. each class should have the
same number of cases. I tried and searched a lot, without success so far.
Maybe you can help?
Some example code
*# generate example da
Is it somehow possible to use the the predict method of the raster package
with a prediction model obtained using caret's train()?
/
predict(rasterStack, carettrain, filename="...", progress='text',
format="BSQ",
datatype='INT1U', type='response', overwrite=TRUE) /
Thank you
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Someone pointed me to this paper:
http://www.validlab.com/goldberg/paper.pdf
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Thank you for the explanation. Good to know about the issue how double values
are "constructed" by a bit system. This makes me handling double values with
care in using it in R or aother languages control structures etc.
Thank you also for the hint concerning the Null vs. Zero vs.. issue. Yes,
th
Hello,
I fear its a stupid question,..but here it is:
If I do this simple calculation with the R console, I surprisingly do not
get a zero. Why?
-1.1-0.1+1.2
[1] -2.220446e-16
greetings, Ole
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