The Deep Signal Library version 1.3 has been released. It includes the ability to choose what trainer to use when creating a machine learning model. You can still have the Deep Signal Library try all available trainers when creating a model to find the best performing algorithm.
The progress window that is displayed when creating a new machine learning model has been updated. It shows the best performing trainer in real time as the model is being created. It also will keep track of each trainer's performance so the user can look to see how each trainer performed during the training run. If you find some trainers do not work well for that data set then you can deselect them for future training runs.
Please see Creating a Machine Learning Model for more info.