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Seems to be internal to the learner as
gts_fit <- hts::gts(ts(as.matrix(abc[, -5])))
train_hmax <- max(abc$time)
test_hmax <- max(unique(test_data$time))
gts_fpreds <- forecast(gts_fit, h = test_hmax - train_hmax)$bts
also fails with non-conformable arrays. This could be due to a recent change in how R handles matrix multiplication. I will disable the test for now, but we should decide if we need to remove the learner.
MichaelChirico
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