`RandomSearchOracle`

class```
keras_tuner.oracles.RandomSearchOracle(
objective=None,
max_trials=10,
seed=None,
hyperparameters=None,
allow_new_entries=True,
tune_new_entries=True,
max_retries_per_trial=0,
max_consecutive_failed_trials=3,
)
```

Random search oracle.

**Arguments**

**objective**: A string,`keras_tuner.Objective`

instance, or a list of`keras_tuner.Objective`

s 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_trials**: Integer, the total number of trials (model configurations) to test at most. Note that the oracle may interrupt the search before`max_trial`

models have been tested if the search space has been exhausted. Defaults to 10.**seed**: Optional integer, the random seed.**hyperparameters**: Optional`HyperParameters`

instance. Can be used to override (or register in advance) hyperparameters in the search space.**tune_new_entries**: Boolean, whether hyperparameter entries that are requested by the hypermodel but that were not specified in`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.**allow_new_entries**: Boolean, whether the hypermodel is allowed to request hyperparameter entries not listed in`hyperparameters`

. Defaults to True.**max_retries_per_trial**: Integer. Defaults to 0. The maximum number of times to retry a`Trial`

if the trial crashed or the results are invalid.**max_consecutive_failed_trials**: Integer. Defaults to 3. The maximum number of consecutive failed`Trial`

s. When this number is reached, the search will be stopped. A`Trial`

is marked as failed when none of the retries succeeded.