Open kaku2000 opened 2 years ago
There are no issues with using LSTM's on scalar data. A lot of financial planning such as stock market predictions, marketing and inventory predictions are done using LSTM time series.
At least should use raw time series as one sample here for anomaly detection, don't you think so.
That's different to do predictions in those time series data.
2021年12月23日(木) 0:19 Brent Larzalere @.***>:
There are no issues with using LSTM's on scalar data. A lot of financial planning such as stock market predictions, marketing and inventory predictions are done using LSTM time series.
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Seems the dataset is using scalar value here
merged_data = merged_data.append(dataset_mean_abs)
Is it right you're using lstm for scalar data?