Value Error : Input 0 of layer dense_2 is incompatible with the layer
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Hi !
I think I have detected a bug about emails metadata's structure. Indeed, I trained a model with a specific metadata dataset structure (look at the first picture attached). But when I try to predict a result with a dataset which has a bigger structure, the followig error appears :
"ValueError: Input 0 of layer dense_2 is incompatible with the layer: expected axis -1 of input shape to have value 9 but received input with shape [None, 10]"
I join you an example of this dataset (the second picture) so you can see what I mean. I think it could be a problem from tensorflow but I'm not sure.
Python version :
3.8
Melusine version :
2.3.1
Operating System :
Windows 10
Hi !
I've solved this issue !