Subigya Kumar Nepal

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@Andrea0911 Would you mind sharing what approach you used at the end? @johannfaouzi The examples in the documentation says: ``` # Parameters n_samples, n_features = 100, 144 ``` But, n_features...

Sorry, my bad -- there's a third dimension accounting for subjects (just as in the first post). I get pretty different images with `RecurrencePlots(dimension=1)` (or even with any other encoding...

Just realized that with a CNN I could just create multiple RPs for each features and stack them together for prediction. I found a paper where they've stacked distance matrices...

Is there a way we can skip thresholding in pyts too? Edit: Nevermind. :) Just saw the documentation. Thresholding is disabled by default it seems.

@johannfaouzi What would you suggest as an image encoding technique when there's varying samples for each timestamp? For example if the data for one hour consists of say 50 samples...

Hi, is there any workaround to this? I am facing the same thing. When the content is empty, the swipe is smooth. But, it lags when there's any content. Using...