hex.grid

Class HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria

java.lang.Object

water.Iced

hex.grid.HyperSpaceSearchCriteria

hex.grid.HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable

Enclosing class:

HyperSpaceSearchCriteria

public static final class HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria
extends HyperSpaceSearchCriteria

Search criteria for a hyperparameter search including directives for how to search and when to stop the search.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.grid.HyperSpaceSearchCriteria

HyperSpaceSearchCriteria.CartesianSearchCriteria, HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria, HyperSpaceSearchCriteria.Strategy

Field Summary

Fields

Modifier and Type	Field and Description
double	_stopping_tolerance

Fields inherited from class hex.grid.HyperSpaceSearchCriteria

_strategy

Constructor Summary

Constructors

Constructor and Description
HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	defaultStoppingTolerance()
int	max_models() Max number of models to build.
double	max_runtime_secs() Max runtime for the entire grid, in seconds.
long	seed() Seed for the random choices of hyperparameter values.
ScoreKeeper.StoppingMetric	stopping_metric() Metric to use for convergence checking; only for _stopping_rounds > 0
int	stopping_rounds() Early stopping based on convergence of stopping_metric.
double	stopping_tolerance() Relative tolerance for metric-based stopping criterion: stop if relative improvement is not at least this much.

Methods inherited from class hex.grid.HyperSpaceSearchCriteria

strategy

Methods inherited from class water.Iced

clone, copyOver, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_stopping_tolerance

public double _stopping_tolerance

Constructor Detail

HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria

public HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria()

Method Detail

defaultStoppingTolerance

protected double defaultStoppingTolerance()

seed

public long seed()

Seed for the random choices of hyperparameter values. Set to a value other than -1 to get a repeatable pseudorandom sequence.

max_models

public int max_models()

Max number of models to build.

max_runtime_secs

public double max_runtime_secs()

Max runtime for the entire grid, in seconds. Can be combined with max_runtime_secs in the model parameters. If max_runtime_secs is not set in the model parameters then each model build is launched with a limit equal to the remainder of the grid time. If max_runtime_secs is set in the mode parameters each build is launched with a limit equal to the minimum of the model time limit and the remaining time for the grid.

stopping_rounds

public int stopping_rounds()

Early stopping based on convergence of stopping_metric. Stop if simple moving average of the stopping_metric does not improve by stopping_tolerance for k scoring events. Can only trigger after at least 2k scoring events. Use 0 to disable.

stopping_metric

public ScoreKeeper.StoppingMetric stopping_metric()

Metric to use for convergence checking; only for _stopping_rounds > 0

Overrides:

stopping_metric in class HyperSpaceSearchCriteria

stopping_tolerance

public double stopping_tolerance()

Relative tolerance for metric-based stopping criterion: stop if relative improvement is not at least this much.