Hello friends, have a good time
I had a question, thank you for your help
I want to write the code of this structure with Python,
I defined a functional model for CNN, LSTM and Deep auto encoder
Now I need to give the latent vector of autoencoder as input to extreme gradient boost,
I do not know how to do this to define this whole structure as a single model to give it input and predict output
I used the StackingClassifier command but it gave me an error:
The Functional estimator should be classifier
Thanks for guiding me on how to code this structure
Dear Mobin Mohammad Shojapour
These tutorials might be an asset, have a look:
1. https://www.youtube.com/watch?v=WRNV7NVLNuA
2. https://www.youtube.com/watch?v=pofWfJc3Zog
3. https://www.youtube.com/watch?v=C-gEQdGVXbk
Kind Regards
Qamar Ul Islam
I made good experience applying similar strategies using direct code in Tensorflow. There are a lot of examples in the web where you can start, but the best is actually the documentation of Tensorflow itself: https://www.tensorflow.org/tutorials/generative/autoencoder
Depending on your flavour, pytorch has also nice syntax to write these structures in a convenient way.
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