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Adam optimization algorithm in Alteryx Machine Learning

hdesai7
8 - Asteroid

I am using Alteryx Analytics Cloud - Machine Learning for a fraud detection dataset. I am trying to use the Adam Optimization Algorithm in the machine learning model. I am not able to find a setting in Alteryx that let’s me set the optimizer.

 

I also exported the python code. But, I can’t find the part of the code that determines the optimizer.  If I had to type out the code in Python, it would look something like this:

 

model.compile(optimizer='adam',

 

Am I missing something? Is the Adam optimization algorithm a part of one of the models already? I couldn’t find anything in the documentation. If they are a part of the model, which model should I select?

 

3 REPLIES 3
fesrimo
8 - Asteroid
Deano478
12 - Quasar

Hey @hdesai7 honestly while Alteryx is a great software it doesn't excel when it comes to ML. For Advanced ML and ML use cases in general I would recommend you explore the Knime Analytics Platform as it offers a wide range of nodes for different ML Models.

c-lopez
Alteryx
Alteryx

Hi @hdesai7,

In order to customize a specific portion of the pipeline that AML generates you will have more luck with the more advanced python export option that is presented when you finish building a model on AML.

Snag_104ef2ed.png


This will give you a Python pipeline for the model you've built on AACP and this is where you can make specific changes, here is an
excellent blog post depicting what I am referring to.


Under the hood AML uses Eval ML so documentation to accomplish what you need may be here

I hope this helps!