Tuner class for Keras models.
Tuner_class()None
May be subclassed to create new tuners. # Arguments: oracle: Instance of Oracle class. hypermodel: Instance of HyperModel class (or callable that takes hyperparameters and returns a Model instance). max_model_size: Int. Maximum size of weights (in floating point coefficients) for a valid models. Models larger than this are rejected. optimizer: Optional. Optimizer instance. May be used to override the `optimizer` argument in the `compile` step for the models. If the hypermodel does not compile the models it generates, then this argument must be specified. loss: Optional. May be used to override the `loss` argument in the `compile` step for the models. If the hypermodel does not compile the models it generates, then this argument must be specified. metrics: Optional. May be used to override the `metrics` argument in the `compile` step for the models. If the hypermodel does not compile the models it generates, then this argument must be specified. distribution_strategy: Optional. A TensorFlow `tf.distribute` DistributionStrategy instance. If specified, each trial will run under this scope. For example, `tf.distribute.MirroredStrategy(['/gpu:0, /'gpu:1])` will run each trial on two GPUs. Currently only single-worker strategies are supported. directory: String. Path to the working directory (relative). project_name: Name to use as prefix for files saved by this Tuner. logger: Optional. Instance of Logger class, used for streaming data to Cloud Service for monitoring. overwrite: Bool, default `FALSE`. If `FALSE`, reloads an existing project of the same name if one is found. Otherwise, overwrites the project.