Hi,
>
> > If I instead output the decision values, the whole procedure is
> > fully reproducible, i.e. the exact same values are returned when I
> > retrain the model.
>
> By the decision values, you mean the predict labels, right?
The output of decision values can be turned on in the predict.s
Howdy,
On Oct 21, 2009, at 1:05 PM, Anders Carlsson wrote:
Yes, exactly that. In your example, though, the variation seems to
be a lot smaller. I'm guessing that has to with the data.
If I instead output the decision values, the whole procedure is
fully reproducible, i.e. the exact same va
Hi again, and thank you Steve for your reply!
> Hi Anders,
>
> On Oct 21, 2009, at 8:49 AM, Anders Carlsson wrote:
>
> > Dear R:ers,
> >
> > I'm using the svm from the e1071 package to train a model with the
> > option "probabilities = TRUE". I then use "predict" with
> > "probabilities = TRUE"
Hi Anders,
On Oct 21, 2009, at 8:49 AM, Anders Carlsson wrote:
Dear R:ers,
I'm using the svm from the e1071 package to train a model with the
option "probabilities = TRUE". I then use "predict" with
"probabilities = TRUE" and get the probabilities for the data point
belonging to either c
Dear R:ers,
I'm using the svm from the e1071 package to train a model with the
option "probabilities = TRUE". I then use "predict" with "probabilities
= TRUE" and get the probabilities for the data point belonging to either
class. So far all is well.
My question is why I get different result
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