Bethany Ebel

@RobertSamoilescu I have tried to implement the same thing using your example above and am getting the same error. Here is the code: ``` import os import numpy as np...

Thanks for this! This worked for me, I used the format ``` y = [ [0, 1], [1, 0], [0, 1] ] ``` I'm stuck on one error explaining the...

Hi @RobertSamoilescu, Thank you so much for your help! I managed to fix this by debugging using all your suggestions. I am now optimising the autoencoder as before, but I'm...

@RobertSamoilescu Thank you so much! This worked! I have the counterfactual method fully working now. I am fitting the autoencoder as you suggested above and the error is very high....

Thank you for this! I fixed that issue and the error reduced significantly. It's now around 130. What kind of reconstruction error/categorical accuracy would you say is reasonable? Looking at...

Thanks so much for all of your advice. I've used the PCA method and found some good dimensions. For the same dimensions, my PCA loss (around 0.3) is much better...

Hi @mauicv, Thanks so much for your response. The use case is a credit model with over 100 variables. A big issue I've had is trying to reduce the length...

Hi @mauicv, Thank you, this was the issue - I was using a dataframe for xTrain instead of a numpy array. I am still getting this error below, probably because...

Hi @mauicv. Thank you for this explanation! I'll implement this and let you know how it goes. I don't know the exact mapping of the variables but I know they...

Hi @mauicv, I hope you are well! The wrapper model worked, thank you so much for your help! The main problem I'm now having is computation time. It takes around...