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Hi, I have a question about the predict_quantiles API.
When calling:
pred_quantiles, pred_mean = pipeline.predict_quantiles( test_inputs, prediction_length=prediction_length, quantile_levels=[0.1, 0.5, 0.9], predict_batches_jointly=True, # Enable cross-learning? batch_size=min(100, unique_id_num), # currently 13 )

I noticed that enabling predict_batches_jointly=True does not change the prediction results — the outputs are identical to using the default setting.

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Hi, thanks for opening this issue. Can you please provide an example including the input data & outputs to both methods?

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