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i was looking at the example and its not clear to me how a nX1 numpy array can be used with the regression example.
could i please get some brief code just to get started.
Best,
Andrew
The text was updated successfully, but these errors were encountered:
An example where the model is called can be found here. There task['x_context'] and others are three-tensors of shape (batch, data, 1), and the outputs y_mean and y_std are also of that shape. Thus, you could reshape your arrays to shape (1, data, 1) and call model similarly. Also take a look at the sequential inference notebook, where we run some trained models on new data.
I should also say that we a Julia implementation which you could use. The interface is described here.
Hi @wesselb @YannDubs !!
i was looking at the example and its not clear to me how a nX1 numpy array can be used with the regression example.
could i please get some brief code just to get started.
Best,
Andrew
The text was updated successfully, but these errors were encountered: