I'm currently stuck in my masterthesis. I'm trying to do a Bayesian Optimization for the hyperparameter tuning with the Keras-Tuner. I have a training dateset containing 4131 samples, but keras-tuner only uses 130 datapoints for the tuning. I'd like to use all the data or at least almost.
this the code I use: enter image description here
this is what I don't get: enter image description here
google, stackoverflow and chatgpt couldn't help me til now, couldn't find a similar problem
