Closed maikherbig closed 3 years ago
Solved. Same principle could be used to avoid reloading data when successively training models. But then, some option should be present on the main window to allow user decide if data should be kept in RAM or removed when training started.
When re-running LR screening (hitting the "Run" button twice), the entire dataset is loaded again. This is totally unnecessary, if the files on the Drag-n-drop table did not change. Suggestion: When hitting "Run", first check if self.ram already exists and if it matches what is given in the Drag-n-drop table. If it matches, don't reload the dataset