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I am using DeepAREstimator to predict a time series, the training_data has 900 target values, the training code:
model = DeepAREstimator(
prediction_length=1, freq="D", trainer_kwargs={"max_epochs": 5}
).train(training_data)
But, while predicting the values for the same dataset:
forecasts = list(model.predict(training_data))
The length of samples in forecasts[0] is just 100, how can I get the forecasts for each value in the training set(I was expecting 900 as the length of samples).
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I am using DeepAREstimator to predict a time series, the training_data has 900 target values, the training code:
But, while predicting the values for the same dataset:
forecasts = list(model.predict(training_data))
The length of samples in forecasts[0] is just 100, how can I get the forecasts for each value in the training set(I was expecting 900 as the length of samples).
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