def __init__(self, x, y, solver=LeastSquares, scorer=MeanAbsolute, number_of_folds=5):
BaseTrainer.__init__(self, x=x, y=y, solver=solver, scorer=scorer, number_of_folds=number_of_folds)
# defaults
self.task_queue = None
self.result_queue = None
self.number_of_processes = None
def _run_feature_selection(self, forward=True, backward=False):
# spin up workers
self._start_workers()
# actually run the feature selection
BaseTrainer._run_feature_selection(self, forward, backward)
# end workers
self._end_workers()
