I am working on my laptop with tensorflow 2.4.1 and keras 2.3.1 in an anaconda virtual environment. Unfortunately I need to run my code on a remote ma ...
I am working on my laptop with tensorflow 2.4.1 and keras 2.3.1 in an anaconda virtual environment. Unfortunately I need to run my code on a remote ma ...
tl;dr I try to optimize and cross-validate my hyperparameters with Hyperas but can't make a preprocessing (scaling, over/undersampling) pipeline with ...
I'm trying to use optim.minimize from Hyperas. The code is running is google colab, python 3 + GPU. When I run this: This error is thrown: ...... ...
I'm using hyperas to optimize a function and it is not returning the best result. During the run the print out reads as follows but afterwards when ...
I would like to retrieve metrics of speed of the model on validation data, in order to compare different parameters and their impact on speed. For exa ...
The model compiled and ran, until it got to the line that's evaluating the model at the end of the code. I think that the error is that it received a ...
I am trying to tune parameters using Hyperas but I can't interpret few details regarding it. Q1) What is max_eval parameter in optim.minimize do? Q2 ...
I am using hyperas module to tune my Keras model and return the error: The error occurred at calling place, the syntax of trials: and I think th ...
I am new to using Hyperas and I am facing a syntax problem. I want to optimize the parameters of my LSTM in keras, for that I am using hyperas to loop ...
I've built a model using Keras for solving the regression problem. I want to perform a hyperparameter optimization on this model. As metrics I used va ...
I am trying to use hyperas to optimize my keras model but I keep getting NameError: processing (function_name) is not defined. I have already looked a ...
I have a regression dataset: I tried doing Hyperas using Functional API (my main purpose is to use the loss_weights option during compiling): Ho ...