Closed CodeUser777 closed 5 years ago
As we make the move to the next LTS version, which starts from v.0.6 (now available in daily-dev branch), part of it involves ensuring that the documentation is 100% in accord with the software. It might take a little bit of time though. To that end, all kinds of contributions will be most welcome.
This is done now, will be in the new docs once it makes to master. Closing here.
Hi, I just was working on a Project with keras and added talos for hyperparameter opimization. Probably its just my mistake, but I noticed that the documentation (example) of the early_stopper implementation ist wrong.
out = model.fit(x_train, y_train, batch_size=params['batch_size'], epochs=params['epochs'], verbose=0, validation_data=[x_val, y_val], callbacks=early_stopper(params['epochs'], mode='strict')) ```
https://autonomio.github.io/docs_talos/#probabilistic-reduction
correct is to put the early_stopper call in brackets.
out = model.fit(x_train, y_train, batch_size=params['batch_size'], epochs=params['epochs'], verbose=0, validation_data=[x_val, y_val], callbacks=[early_stopper(params['epochs'], mode='strict') ])```
It took me a bit of time to find the problem, that's why I just wanna save someone else some time ;-)