Tuner class for Keras models.

Tuner_class(
  oracle,
  hypermodel,
  max_model_size = NULL,
  optimizer = NULL,
  loss = NULL,
  metrics = NULL,
  distribution_strategy = NULL,
  directory = NULL,
  project_name = NULL,
  logger = NULL,
  tuner_id = NULL,
  overwrite = FALSE
)

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.

tuner_id

tuner_id

overwrite

Bool, default `FALSE`. If `FALSE`, reloads an existing project of the same name if one is found. Otherwise, overwrites the project.

Value

a tuner object

Details

May be subclassed to create new tuners.