Random search

Random online adaptive racing. http://ml.informatik.uni-freiburg.de/papers/11-LION5-SMAC.pdf

Random online adaptive racing.

Return identifier of models in the ensemble. This includes models which have a weight of zero! Returns ------- list

Return validation performance of ensemble. In case of multi-objective problem, only the first metric will be returned. Return

Returns ------- bool Whether this AutoML instance has an ensemble

Parameters ---------- kind: "ensemble" | "test" = "ensemble" The kind of predictions to query for Return

Does an intersection over all collection of items ..code:: python ans = intersection(["a", "b", "c"], "ab", ("b", "c")) items =

Return if a helper function has already been executed. Necessary as get_value() can return None if the helper function hasn't been ex

Whether a path is a fixture

Set n_iter=2 for the same reason as for SGD

Set n_iter=2 for the same reason as for SGD

Set n_iter=2 for the same reason as for SGD

Set n_iter=2 for the same reason as for SGD

The memory usage of this run based on it's directory