Leverage stride as a way to limit training set size in RegressionModels.

[hrzn]

When all the series have the same freq, the new logic (introduced here: #1399) for tabularization leverages Numpy sliding windows with a stride.
It'd be interesting to expose this stride as a way to limit the training set size (similar to max_samples_per_ts).