"How to see the variable importance of a neural net similar to deep learning?"
Hi everyone
Pls help me. I am working on rapidminer. I am using Deep learning and neutral net to build regression model. In deep learning operator, the output has weight - this port deliver the weight of the attribute with respect to the label attribute, but in neutral net we dont have it. And i want to know how to show the weight of the attribute in neutral net.
tks
An
| |||
|
Find more posts tagged with
Hi @RolandJones
Thank you for replying me
I have one more question about neutral net. So , as you know, neutral net use sigmoid for activation function and i wonder that Does rapidminer use this formula for sigmoid: f(A)=1/(1+e^-x)?
hope you will reply
Best
AN
Altair EmployeeHi AN,
Yes, I have checked the source code and the function is listed as you describe.
Best,
Roland
Hi @RolandJones
Thank you for replying me
Can you please check the source code about normalize in neutral net, i want to know how neutral net normalize the input and the way neutral net denormalization in the ouput.
best
An
Hi @annata,
Unfortunately this operator doesn't support the generation of weights. I would recommend downloading the Interpretation extension, and use Generate Interpretation to generate these weights.
Thanks,
Roland