Explain Predictions with Deep learning model in python Script
Hello,
I am writing this to check if anyone tried to use explain predictions operator with a deep learning model developed in python using Execute python script?
I am not sure if this works but I tried and I am getting an error near the model input of explain predictions operator. I am returning model and connecting it to Explain predictions
I might be trying something crazy here
Attached dataset and process rmp file. @lionelderkrikor @hughesfleming68
Thanks for your help
Varun
I am writing this to check if anyone tried to use explain predictions operator with a deep learning model developed in python using Execute python script?
I am not sure if this works but I tried and I am getting an error near the model input of explain predictions operator. I am returning model and connecting it to Explain predictions
Wrong input of type 'File' at port 'model'. Expected type 'Model'
I might be trying something crazy here

Attached dataset and process rmp file. @lionelderkrikor @hughesfleming68
Thanks for your help
Varun
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Hi Varun. Is this a Keras/Tensorflow model that you are bringing in the with the read Keras operator from the DL4J extension? I am not sure when I will be able to look at your process so just guessing. Try saving the model and bringing it in that way.
Hello Alex,
I tried saving the model into the hdf5 format. Once this is done I tried to retrieve it and use read keras operator but this operator is not giving model output. I am attaching the processes and dataset in this. Please take a look when you have time. I will keep trying as well.
Not sure if simpleRNN in keras is the reason for this issue.
@pschlunder your inputs are appreciated.
Thank you
I tried saving the model into the hdf5 format. Once this is done I tried to retrieve it and use read keras operator but this operator is not giving model output. I am attaching the processes and dataset in this. Please take a look when you have time. I will keep trying as well.
Not sure if simpleRNN in keras is the reason for this issue.
@pschlunder your inputs are appreciated.
Thank you
Hi @varunm1 ,
Explain Predictions needs an RM Model object. it cannot work with python models (yet).
Best,
Martin
Hello @mschmitz
Thanks for your response. I am not aware of this. I thought this works for Deep learning extension. Thanks for informing.
Fighting on this from yesterday
Regards,
Varun
Thanks for your response. I am not aware of this. I thought this works for Deep learning extension. Thanks for informing.
Fighting on this from yesterday

Regards,
Varun
Does "Read Keras Model" operator which is part of deep learning extension convert keras model to DL4J? I am trying this. First store model in hdf5 and then use read keras to convert to dl4j and apply explain predictions.
I thought read keras model operator is not working(unable to convert to dl4j) for my model because I am using SimpleRNN layer in keras which I don't see in our Deep learning extension.
I thought read keras model operator is not working(unable to convert to dl4j) for my model because I am using SimpleRNN layer in keras which I don't see in our Deep learning extension.