OutOfMemoryError: Java heap space

Hi

I have a problem in running weka training and predictor. My traning set has 456 compounds(rows) and 156 descriptors (columns) and one Column with classes. Test set has 6650 compounds(rows) and 156 descriptors(Columns). when i run the node, it shows following error

Failed to apply settings: java.lang.OutOfMemoryError: Java heap space

Could you please help me in this...

best regards

Nathan

Make sure the structures are in smiles format and not sdf, chemaxon or something similar

Hi

I dont have smiles in the node. I have filtered those structures before i go to model development (AttributeSelectedClassifier).

best regards

 

Nathan

In the config window go to memory control and select option "Write table to disc" to see if that helps.

Another option is to edit the knime.ini file, and then reload KNIME with the settings (it may be the Java memory was set to low):

-Xmx1099m
-XX:MaxPermSize=512m

Simon.

Hi

thanks, now i it works