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Talos is a hyperparameter search and tuning solution for Keras users.

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Using talos on a Model with a list as training data

January 29, 2019 at 10:05am

Using talos on a Model with a list as training data

January 29, 2019 at 10:05am
Hello, first thank you for the great repo. I need to know if Talos accept a model with a training set as a list? Such as in this example
h=ta.Scan(
x=x_train,
y=y_train,
params=params,
model=NeuMf_model,
val_split=0.1,
experiment_no="1",
debug=True)
Where
x_train = [train.user_id, train.item_id]
An exceptions raises "only integer scalar arrays can be converted to a scalar index" no matter how I format the element the x_train list. Is there a particular way to tell Talos no to preprocess my input before feeding them to the model?

January 29, 2019 at 10:38am
You're most welcome :) Streamlining inputs of lists and dictionaries instead of 1d and 2d arrays is a high priority item at the moment, most likely there will be progress with this during this week still.
Thanks for the prompt response, that's good to hear, looking forward to it.
You can try now with . I've tested according to the scenario in #155 where the same x_train is provided as input in model.fit() in a list, and the case where Scan(x=[array, array]) and both work. The trick is that you have to declare Scan(....x_val, y_val...) as otherwise Talos will try to split for validation, and that will not work.