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[MNT] Remove Reshape layer from Deep Learning Clusterers #1794
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maybe add some context as to why? |
@TonyBagnall @aadya940 Would you be able to provide more context on this? |
@av6-github Yes, go ahead :) https://github.com/aeon-toolkit/aeon/blob/main/aeon/clustering/deep_learning/_ae_fcn.py#L232 |
@aadya940 thank you! |
@aadya940 since there is no output layer variable, what do I put in the outputs parameter in the model? |
@av6-github You have to pass the |
@aadya940 i am having some issues with pre commit and certain checks, so i am currently unable to make a proper pull request. :( |
@av6-github Hello, your PR seemed good to me. If you're having issues with Pre-Commit here are the steps: Install:
Run:
Do let us know if you need any help. |
@av6-github do you still need a hand with this? It is fine to keep a pull request open even if it is failing the CI currently. |
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I tried this, but still am having issues! |
Not sure what the issue is without logs really. You can check the errors by creating a PR and then clicking on |
hi @av6-github we were just reviewing open issues, are you still interested in resolving this? If so, @aadya940 could you advise? thanks. |
hey, if no one is working on this issue is it possible for me to resolve this issue? |
@tanishy7777 Yes, sure go ahead. |
Describe the issue
The
tf.keras.layers.Reshape
was introduced inclustering/deep_learnin
to make the input shape of the encoder equal to the output shape of the decoder which is already being tested intest_all_networks.py
. So, basically it is unnecessary at the moment.Suggest a potential alternative/fix
Remove it.
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