Hi Manuel,

How did you run weka? Did you use the standalone version of the website of
did you use the package manager to install the plugin?

@jan: Can we now remove the standalone version from the website and use the
package from now on?

Thanks,
Joaquin

On Sat Feb 14 2015 at 4:17:56 PM Manuel Martín [email protected]
wrote:

[14-02-2015 13:41:27] [INFO] [ARFF Cache] Stored dataset 17 to cache.
[14-02-2015 13:41:27] [INFO] [ARFF Cache] Stored splits 17 to cache.
[14-02-2015 13:41:27] [INFO] [Splits] Obtaining folds for Task 17
(bridges) with weka.classifiers.bayes.NaiveBayes - Repeat 0
java.lang.IndexOutOfBoundsException: Index: 107, Size: 107
java.util.ArrayList.rangeCheck(ArrayList.java:635)
java.util.ArrayList.get(ArrayList.java:411)
weka.core.Instances.instance(Instances.java:768)

org.openml.weka.experiment.TaskResultProducer.doRun(TaskResultProducer.java:248)

org.openml.weka.experiment.TaskBasedExperiment.nextIteration(TaskBasedExperiment.java:173)

org.openml.weka.gui.OpenmlRunPanel$ExperimentRunner.run(OpenmlRunPanel.java:197)

at java.util.ArrayList.rangeCheck(ArrayList.java:635)
at java.util.ArrayList.get(ArrayList.java:411)
at weka.core.Instances.instance(Instances.java:768)
at org.openml.weka.experiment.TaskResultProducer.doRun(TaskResultProducer.java:248)
at org.openml.weka.experiment.TaskBasedExperiment.nextIteration(TaskBasedExperiment.java:173)
at org.openml.weka.gui.OpenmlRunPanel$ExperimentRunner.run(OpenmlRunPanel.java:197)

—
Reply to this email directly or view it on GitHub
openml/OpenML#172.

@manuel: did you try clearing the cache? We did a lot of changes in the
caching mechanism recently.

The cache is in a .openml folder in your home dir.

Cheers,
Joaquin

On Sun Feb 15 2015 at 8:39:20 AM Joaquin Vanschoren [email protected]
wrote:

Hi Manuel,

How did you run weka? Did you use the standalone version of the website of
did you use the package manager to install the plugin?

@jan: Can we now remove the standalone version from the website and use
the package from now on?

Thanks,
Joaquin

On Sat Feb 14 2015 at 4:17:56 PM Manuel Martín [email protected]
wrote:

[14-02-2015 13:41:27] [INFO] [ARFF Cache] Stored dataset 17 to cache.
[14-02-2015 13:41:27] [INFO] [ARFF Cache] Stored splits 17 to cache.
[14-02-2015 13:41:27] [INFO] [Splits] Obtaining folds for Task 17
(bridges) with weka.classifiers.bayes.NaiveBayes - Repeat 0
java.lang.IndexOutOfBoundsException: Index: 107, Size: 107
java.util.ArrayList.rangeCheck(ArrayList.java:635)
java.util.ArrayList.get(ArrayList.java:411)
weka.core.Instances.instance(Instances.java:768)
org.openml.weka.experiment.TaskResultProducer.doRun(
TaskResultProducer.java:248)
org.openml.weka.experiment.TaskBasedExperiment.nextIteration(
TaskBasedExperiment.java:173)
org.openml.weka.gui.OpenmlRunPanel$ExperimentRunner.run(
OpenmlRunPanel.java:197)

at java.util.ArrayList.rangeCheck(ArrayList.java:635)
at java.util.ArrayList.get(ArrayList.java:411)
at weka.core.Instances.instance(Instances.java:768)
at org.openml.weka.experiment.TaskResultProducer.doRun(TaskResultProducer.java:248)
at org.openml.weka.experiment.TaskBasedExperiment.nextIteration(TaskBasedExperiment.java:173)
at org.openml.weka.gui.OpenmlRunPanel$ExperimentRunner.run(OpenmlRunPanel.java:197)

—
Reply to this email directly or view it on GitHub
openml/OpenML#172.

From @DraXus on February 15, 2015 15:18

It was a clean standalone Weka version and then I installed the OpenML plugin from the package repository. I only got that error with tasks using dataset 17 so far. I tried to clean the cache but it happened again.

Interesting. Jan, can you take a look?
On Sun 15 Feb 2015 at 16:18, Manuel Martín [email protected] wrote:

It was a clean standalone Weka version and then I installed the OpenML
plugin from the package repository. I only got that error with tasks using
dataset 17 so far. I tried to clean the cache but it happened again.

—
Reply to this email directly or view it on GitHub
openml/OpenML#172 (comment).

From @DraXus on February 15, 2015 17:10

I mean, it's not urgent. I will use other datasets for the demo, but just take a look when you can :)

We have released several new versions of the apiconnector in the mean time. Please check if this is still an issue.