Created
May 30, 2020 19:32
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forecast batch
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| forecast = [] | |
| first_eval_batch = scaled_train[-length:] | |
| current_batch = first_eval_batch.reshape(1,length,n_features) | |
| for i in range(80): | |
| current_pred = model.predict(current_batch)[0] | |
| forecast.append(current_pred) | |
| current_batch = np.append(current_batch[:,1:,:],[[current_pred]],axis = 1) |
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