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Deep Learning Toolkit-Issue with apply command

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I am building an LSTM Auto encoder to detect anomalies in Time Series Data In the Jupiter Lab environment , I am able to run my code and I am getting the expected result When I try to run through search bar in Splunk, the below things are happening 1.Fit command is actually triggering the training and the model is getting generated. I could see the model in the Jupiter lab environment 2.When I apply the model, either the container is unresponsive for some time and then crashing or I am getting a shape error for the same data which worked in the Jupiter Lab This is the command I am running index=“test_50" | head 3000 | apply app:lstm_autoencoder Could you please help me to resolve this issue. Any documentation on how the code interacts with Splunk Container will also help.

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