GridSearchOracle classkeras_tuner.oracles.GridSearchOracle(
objective=None,
max_trials=None,
seed=None,
hyperparameters=None,
allow_new_entries=True,
tune_new_entries=True,
max_retries_per_trial=0,
max_consecutive_failed_trials=3,
)
Grid search oracle.
Arguments
keras_tuner.Objective instance, or a list of
keras_tuner.Objectives and strings. If a string, the direction of
the optimization (min or max) will be inferred. If a list of
keras_tuner.Objective, we will minimize the sum of all the
objectives to minimize subtracting the sum of all the objectives to
maximize. The objective argument is optional when
Tuner.run_trial() or HyperModel.fit() returns a single float as
the objective to minimize.max_trial models have been tested if the search
space has been exhausted. If left unspecified, it runs till the
search space is exhausted.HyperParameters instance. Can be used to
override (or register in advance) hyperparameters in the search
space.hyperparameters should be added to the search space, or not. If
not, then the default value for these parameters will be used.
Defaults to True.hyperparameters.
Defaults to True.Trial if the trial crashed or the results are
invalid.Trials. When this number is reached,
the search will be stopped. A Trial is marked as failed when none
of the retries succeeded.