Using the Select Attribute Operator during training

ml1n

Hello,
I've trained a Neural Network by using a select attribute operator to reduce 85 attributes from a database view to 25 attributes used in training.

After training, I've saved the Neural Network to the repository and attempted to run it with unseen examples using the Read CSV operator.
The unseen sample contains a single record with only the 25 attributes that the select operator presented during training but I get an error from the neural Network:

Apr 11, 2012 9:54:23 PM SEVERE: java.lang.ArrayIndexOutOfBoundsException: DataRow: table index 85 of Attribute avg_score_4 is out of bounds.


If I present an example containing all 85 original variables, it works.
Have I misunderstood what the select operator is designed to do? I'm guessing I could make this work by making a database view containing only the variables I need but that seems redundant when the select operator is available.

What am I missing?

Many thanks,
M.

Nils_Woehler

Hello,

with just your description it is hard to understand the problem you are having.
Please post your processes train and apply processes like it is described here: http://rapid-i.com/rapidforum/index.php/topic,4654.0.html

Best,
Nils