Either `sample_pct` or `training_row_count` can be used to specify the amount of data to
use, but not both. If neither are specified, a default of the maximum amount of data that
can safely be used to train any blueprint without going into the validation data will be
selected.
In smart-sampled projects, `samplePct` and `trainingRowCount` are assumed to be in terms of rows
of the minority class.
Note : For datetime partitioned projects, use `RequestFrozenDatetimeModel` instead