...
- Once the all the training data are acquired, the training module performs preprocessing to convert the data in from json format into Dictionary format
- In Preprocessing the training Data is normalised and Transformed.
- The preprocessed data (PM data Parameters data content) for all slices and cells which are in time series are converted into forcast series.
- The forecast series is cells PM data parameters for current time instance, Plus the previous past or last four time instance data.
- Similar forecast series data is prepared for all the cells in the slice.
- Data are split into training and validation datasets
- The expected results for each time instance cell data are synthetically generated based on rule conditions and the cell intends.
- The training module perform Training against an LSTM model.
- The Training model file are archived.
- The results are manually verified .
...