A requested feature for the modeling wizard is a vector/extent input that allows selecting an area to use for training a machine learning model. If this feature was implemented, the user would not need to clip each of their datasets individually to produce training and testing tests, but instead could specify the areas on the fly.
Implementing this needs some thought how the clipping/masking is best handled. Some options are:
When the user presses "Start training", clip_raster and clip_vector processing algorithms are executed for each input dataset and these will be used to train the model
The CLI function receives the (optional) extent/polygon for clipping as a parameter and clipping/masking is done in the CLI function
The clip/mask parameter goes all the way to the EIS Toolkit training function (which needs a new corresponding parameter) which will mask irrelevant data out
A requested feature for the modeling wizard is a vector/extent input that allows selecting an area to use for training a machine learning model. If this feature was implemented, the user would not need to clip each of their datasets individually to produce training and testing tests, but instead could specify the areas on the fly.
Implementing this needs some thought how the clipping/masking is best handled. Some options are:
clip_rasterandclip_vectorprocessing algorithms are executed for each input dataset and these will be used to train the model