The nature of the windowing performed for the creation of the distributed representations of NetFlow data call for a caching of the subset data that was used to produce the model. This will allow for easier reproducibility in the future.
One should be able to specify a data set directory within the config.ini file which will then attempt to save out the data set as it is generated for training of the model.
The nature of the windowing performed for the creation of the distributed representations of NetFlow data call for a caching of the subset data that was used to produce the model. This will allow for easier reproducibility in the future.
One should be able to specify a data set directory within the config.ini file which will then attempt to save out the data set as it is generated for training of the model.