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zhihanyue avatar zhihanyue commented on July 18, 2024

"instance" means "sample". The difference between instances and features is that instances generally come from the same distribution. For example, for stock market, n_instance is the number of stocks, and n_features is the number of features (e.g. open, high, low, close, volume). For traffic flow, n_instance can be the number of roads, and n_features is the number of features collected on the road.

For a multivariate time series whose data shape is "n_variables x n_timestamps", the input shape may be either "1 x n_timestamps x n_variables" or "n_variables x n_timestamps x 1". It depends on whether these variables are features or samples.

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gminorcoles avatar gminorcoles commented on July 18, 2024

Thank you for the clarification. I had not read the recent papers using contrastive loss, I am catching up. This is good work, thank you.

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