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How to make predictions without the availability of future empirical data #9

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NZX1412 opened this issue Dec 4, 2023 · 0 comments

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@NZX1412
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NZX1412 commented Dec 4, 2023

Greetings, I have been utilizing the aforementioned code to perform a downscaling of precipitation data, employing historic GCM data for the training and validation of the model. However, I harbor the ambition to carry out downscaled forecasts on future GCM data based on the model that has already been diligently trained. The procedure to achieve this, however, eludes me. An error is manifested when I set the parameters data_test, data_test_lr, and predictors_test to ‘None’: it reads, “‘DataGenerator’ object lacks the attribute ‘array’”.

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