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in train_and_evaluate(learn_mixture_weights, adanet_lambda)
24 optimizer=tf.train.RMSPropOptimizer(learning_rate= 0.001),
25 learn_mixture_weights=learn_mixture_weights,
---> 26 seed=42),
27
28 # Lambda is a the strength of complexity regularization. A larger
TypeError: object() takes no parameters
The text was updated successfully, but these errors were encountered:
I had a problem when I ran this code
TypeError Traceback (most recent call last)
in ()
----> 1 results, _ = train_and_evaluate()
2 print("Loss:", results["average_loss"])
3 print("Architecture:", ensemble_architecture(results))
in train_and_evaluate(learn_mixture_weights, adanet_lambda)
24 optimizer=tf.train.RMSPropOptimizer(learning_rate= 0.001),
25 learn_mixture_weights=learn_mixture_weights,
---> 26 seed=42),
27
28 # Lambda is a the strength of complexity regularization. A larger
TypeError: object() takes no parameters
The text was updated successfully, but these errors were encountered: