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Hello, I was impressed with your paper.
I want to experiment with your paper for forecasting stock data.
so, I have some questions.
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is the 'wnet_simple.py' implementation of your paper concept in Lorenz data?
So, what's in the readme is the difference between your article and waveNet? -
in Figure 2.3, Is input and Condition data passed through dilated convolution (and parametrized skip connection) simply added?
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I configured the data [batch size, 1, 10, channels = number of the another data(features)], so I ran by channels(Of course, skip connection was also configured for each channel). Is that what I understand correctly?
I would appreciate your reply.
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