I am developing an application on the time series economic analysis and would like to use TemporalMLDataSet with 10 attributes to store my data. However, I found that when I called the generateInputNeuralData() method from my dataset, it combines all the data rows in the training dataset into one row. This causes incorrect amount of the data can fit into the dataset if the window size is large. May you explain what is the issue and what can I do to fit the desire number of the data into the TemporalMLDataSet? Thanks.
Dear Mr. Heaton,
I am developing an application on the time series economic analysis and would like to use TemporalMLDataSet with 10 attributes to store my data. However, I found that when I called the generateInputNeuralData() method from my dataset, it combines all the data rows in the training dataset into one row. This causes incorrect amount of the data can fit into the dataset if the window size is large. May you explain what is the issue and what can I do to fit the desire number of the data into the TemporalMLDataSet? Thanks.