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

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, 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. Set to 0 to disable. 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.