Comments (1)
@bautroibaola The current model is predicting exactly 1 step ahead. You have the following options:
- Select a large time period, say a week (but you'll have much less data for training).
- Predict the next time steps based on the previous predictions. This is also possible, but the error grows exponentially with each prediction.
None of the options is perfect, but this is because the task is very difficult.
from time-series-machine-learning.
Related Issues (13)
- Prediction time-frame HOT 1
- TypeError: dtype '<type 'datetime.datetime'>' not understood HOT 2
- Pay attention for data leak in Conv1D
- how to fix??
- new complementary tool
- run_train infinite loop? HOT 6
- Question - predict.py default time period HOT 2
- can I use my own dataset? HOT 2
- time-series-machine-learning/predict/ensemble.py", line 29, in predict_aggregated vlog2('Predicted values:\n', changes[:, :6]) IndexError: too many indices for array HOT 1
- why shuffling data? HOT 3
- How to determine "buy" or "sell"?
- ConvModel Fix
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from time-series-machine-learning.