i’am new to knime and try to use different settings for my neural networks (max nr of iterations, nr of hidden layers, nr of hidden neurons) like the guy in https://www.knime.com/forum/knime-general/scoring-different-neural-networks-in-a-loop
I’am not sure how to use the “table row to variable loop start” and how to pass the variables to my Rprop MLP Learner.
Do i have to change the column name to maybe max nr of iterations for example?
Is that loop correct?
Where can i find more Information about that type of node?
One strategy you could try is the use of the Parameter Optimization Loop nodes. There is a nice workflow demonstrating their use on the example server:
thanks for your suggestion.
I try to use your idea with the Parameter Optimization Loop but i’ am not sure, why i got the following error. The console says “ERROR Parameter Optimization Loop End 3:52 Execute failed: Flowvariable ‘null’ not found!” but i don’t know why. My workflow looks like this:
why the endpoint says “Flowvariable null not found”?
I compared it with the nice example from you https://www.knime.com/nodeguide/analytics/optimization/parameter-optimization-two-examples
and in the first example there is also an Scorere with the same connection and without a definition of a flow variable, so i don’t get it, what i’am doing wrong
Do you have any idea?
thanks for your help and sorry for my late reply.
I fixed the problem by myself. Changing the Flow variable with objective function value from the Parameter Optimization Loop End did the trick
