Dear R users,
I am pleased to announce that the package mfe (Meta-Feature Extractor) is
now
available on CRAN (https://cran.r-project.org/package=mfe).
The mfe package extracts meta-features from datasets to support the design
of
recommendation systems based on Meta-Learning. The meta-features, a
Dear R users,
I am pleased to announce that the package mfe (Meta-Feature Extractor) is
now
available on CRAN (https://cran.r-project.org/package=mfe).
The mfe package extracts meta-features from datasets to support the design
of
recommendation systems based on Meta-Learning. The meta-features, a
Dear R users,
I am pleased to announce that the package mfe (Meta-Feature Extractor) is
now
available on CRAN (https://cran.r-project.org/package=mfe).
The mfe package extracts meta-features from datasets to support the design
of
recommendation systems based on Meta-Learning. The meta-features, a
A better solution provide by Adriano Rivolli:
library(parallel)
models <- mclapply(1:10, function(i) {
model <- RWeka::J48(Species ~., iris[sample(nrow(iris))[1:100],])
rJava::.jcache(model$classifier)
model
});
2013-10-24 10:16 GMT-02:00 Luís Paulo F. Garcia :
> Dear
e, Oct 22, 2013 at 7:11 AM, Patrick Connolly <
p_conno...@slingshot.co.nz> wrote:
> On Thu, 17-Oct-2013 at 02:21PM -0300, Luís Paulo F. Garcia wrote:
>
> |> I work very mutch with the packages RWeka and multicore. If you try to
> run
> |> J48 or any tree o
I work very mutch with the packages RWeka and multicore. If you try to run
J48 or any tree of RWeka with multicore we hava some errors.
Example I:
library(RWeka);
library(multicore);
mclapply(1:100, function(i) {
J48(Species ~., iris);
});
Output: "Error in .jcall(o, \"Ljava/lang/Class;\"
I need in machine clock! Not in seconds.
On Fri, Feb 29, 2008 at 2:50 PM, Luís Paulo F. Garcia <[EMAIL PROTECTED]>
wrote:
> How do i for have a time of experiment? Have a package for this? Or
> function? In my case the time of experiment is learning machining (svm
How do i for have a time of experiment? Have a package for this? Or
function? In my case the time of experiment is learning machining (svm).
Tanks :)
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In nnet.formula(classe ~ ., data = treinamento_data, size = 10, : group
Class is empty
What does this mean?
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PLEASE do read t
Hi, my name is Luis, and I have a problem with a dataset.
Its name is algae and count the collection of data in a lake and respective
proliferation of algae.
The parameters that it has are: "mxPH", "mnO2", "Cl", "NO3" "NH4", "oPO4",
"PO4", "Chla" and "a1" all numerics.
a1 - algae1
If I try to do S
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