hex.schemas

Class HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<I,S>

hex.schemas.HyperSpaceSearchCriteriaV99<HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria,HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99>

hex.schemas.HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99

All Implemented Interfaces:

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

Enclosing class:

HyperSpaceSearchCriteriaV99<I extends HyperSpaceSearchCriteria,S extends HyperSpaceSearchCriteriaV99<I,S>>

public static class HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99
extends HyperSpaceSearchCriteriaV99<HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria,HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99>

Search criteria for random hyperparameter search using hyperparameter values given by lists. Includes 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.schemas.HyperSpaceSearchCriteriaV99

HyperSpaceSearchCriteriaV99.CartesianSearchCriteriaV99, HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

SchemaV3.Meta

Field Summary

Fields

Modifier and Type	Field and Description
int	max_models
double	max_runtime_secs
long	seed
ScoreKeeper.StoppingMetric	stopping_metric
int	stopping_rounds
double	stopping_tolerance

Fields inherited from class hex.schemas.HyperSpaceSearchCriteriaV99

strategy

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99()
HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99(long seed, int max_models, int max_runtime_secs)

Method Summary

Methods inherited from class hex.schemas.HyperSpaceSearchCriteriaV99

fillWithDefaults

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromImpl, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillImpl, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal

Methods inherited from class java.lang.Object

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

Field Detail

seed

@API(help="Seed for random number generator; set to a value other than -1 for reproducibility.",
     required=false,
     direction=INOUT)
public long seed

max_models

@API(help="Maximum number of models to build (optional).",
     required=false,
     direction=INOUT)
public int max_models

max_runtime_secs

@API(help="Maximum time to spend building models (optional).",
     required=false,
     direction=INOUT)
public double max_runtime_secs

stopping_rounds

@API(help="Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)",
     level=secondary,
     direction=INOUT,
     gridable=true)
public int stopping_rounds

stopping_metric

@API(help="Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)",
     values={"AUTO","deviance","logloss","MSE","RMSE","MAE","RMSLE","AUC","lift_top_group","misclassification","mean_per_class_error"},
     level=secondary,
     direction=INOUT,
     gridable=true)
public ScoreKeeper.StoppingMetric stopping_metric

stopping_tolerance

@API(help="Relative tolerance for metric-based stopping criterion Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)",
     level=secondary,
     direction=INOUT,
     gridable=true)
public double stopping_tolerance

Constructor Detail

HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99

public HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99()

HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99

public HyperSpaceSearchCriteriaV99.RandomDiscreteValueSearchCriteriaV99(long seed,
                                                                int max_models,
                                                                int max_runtime_secs)