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In the paper introducing GAF, they apply this algorithm to univariate time series only, and the implementation in this package works on univariate time series only. However, you could create a GAF for each feature (open and volume fields), so you would obtain 2 x 20 GAF. If you really want one final image instead of two, I would suggest applying a reduction (such as the element-wise mean or product).
Description
Is it possible to encode 2 x 20 timeseries into a GAF? Trying to encode the Open and Volume fields of the S&P index. Thank you for your effort.
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