Questions tagged [hyperas]

Questions about Hyperas. A tool for hyper-parameter testing and optimization for graphs and neural networks written on Keras. It is wrapper around hyperopt.

Hyperas is a tool for hyper-parameter testing and optimization for graphs and neural networks written on Keras. It is wrapper around hyperopt. Hyperas lets you use the power of hyperopt without having to learn the syntax of it. Instead, just define your keras model as you are used to, but use a simple template notation to define hyper-parameter ranges to tune.

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Can't use intermediate function in hyperas

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 at this and this example from hyperas and done exactly that. It doesn't seem to work for me. This is…
BlueMango
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Regarding error using Keras functional API

I have a regression dataset: X_train (float64) Size = (1616, 3) -> i.e. 3 predictors Y_train (float64) Size = (1616, 2) -> i.e. 2 targets I tried doing Hyperas using Functional API (my main purpose is to use the loss_weights option during…
Corse
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