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hello, why is it that the lcnet model takes as input only the configuration and not the learning curve? in the unit test example, there appears that y_train is composed of the first 2 observations from the learning curve. Shouldn't x_train also contain the learning curve observations? is this by design?
The text was updated successfully, but these errors were encountered:
LC-Net gets as input the hyperparameter configuration x and a numerical value t \in (0, 1] that specifies the time step / epoch, and then predicts the mean and variance of y_t
hello, why is it that the lcnet model takes as input only the configuration and not the learning curve? in the unit test example, there appears that y_train is composed of the first 2 observations from the learning curve. Shouldn't x_train also contain the learning curve observations? is this by design?
The text was updated successfully, but these errors were encountered: