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HI,
I am using StructuredDataClassifier() function for normal classification data.
Here, I have doubt that if I give max_trials=10, how the different keras models taken for processing.
Is those different model architectures are CNN/RNN or any specific custom architectures.
For automodel (), we can use Conv or RNN or ResNet() etc.
But, how StructuredDataClassifier() or regressor() models created.
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HI,
I am using StructuredDataClassifier() function for normal classification data.
Here, I have doubt that if I give max_trials=10, how the different keras models taken for processing.
Is those different model architectures are CNN/RNN or any specific custom architectures.
For automodel (), we can use Conv or RNN or ResNet() etc.
But, how StructuredDataClassifier() or regressor() models created.
Please help on this to understand.
Thanks,
SJK
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