Is there a way to build a model without using a test set? To train a model, it asks for a split of the dataset which is seemingly mandatory. As highlighted in the screenshot below, in the Policy, there is no option of turning off the testing stage or discarding the split. I tried to "trick" 🙂 split process by setting Train ratio 1.0 but it failed.
Therefore, I am asking is there a way of avoiding this step, to just fit the given data? E.g. Imagine that I want to build a simple linear regression model with 100 samples and I don't want to validate or test it. I just want DSS to fit a line basing on my 100 samples. It is like using .fit() function in programming languages to fit the data.
Hi, @shahriyar! Can you provide any further details on the thread to assist users in helping you find a solution (insert examples like DSS version etc.) Also, can you let us know if you’ve tried any fixes already?This should lead to a quicker response from the community.