ai.libs.jaicore.ml.tsc.classifier.trees

Interface TimeSeriesBagOfFeaturesLearningAlgorithm.ITimeSeriesBagOfFeaturesConfig

All Superinterfaces:

org.aeonbits.owner.Config, ai.libs.jaicore.basic.algorithm.IAlgorithmConfig, ai.libs.jaicore.basic.IConfig, ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig, org.aeonbits.owner.Mutable, java.io.Serializable

Enclosing class:

TimeSeriesBagOfFeaturesLearningAlgorithm

public static interface TimeSeriesBagOfFeaturesLearningAlgorithm.ITimeSeriesBagOfFeaturesConfig
extends ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig

Nested Class Summary

Nested classes/interfaces inherited from interface org.aeonbits.owner.Config

org.aeonbits.owner.Config.ConverterClass, org.aeonbits.owner.Config.DecryptorClass, org.aeonbits.owner.Config.DefaultValue, org.aeonbits.owner.Config.DisableableFeature, org.aeonbits.owner.Config.DisableFeature, org.aeonbits.owner.Config.EncryptedValue, org.aeonbits.owner.Config.HotReload, org.aeonbits.owner.Config.HotReloadType, org.aeonbits.owner.Config.Key, org.aeonbits.owner.Config.LoadPolicy, org.aeonbits.owner.Config.LoadType, org.aeonbits.owner.Config.PreprocessorClasses, org.aeonbits.owner.Config.Separator, org.aeonbits.owner.Config.Sources, org.aeonbits.owner.Config.TokenizerClass

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	K_MIN_INTERVAL_LENGTH
static java.lang.String	K_NUMBINS
static java.lang.String	K_NUMFOLDS
static java.lang.String	K_USE_ZNORMALIZATION
static java.lang.String	K_ZPROP

Fields inherited from interface ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig

K_SEED

Fields inherited from interface ai.libs.jaicore.basic.algorithm.IAlgorithmConfig

K_CPUS, K_MEMORY, K_THREADS, K_TIMEOUT

Method Summary

Modifier and Type	Method and Description
int	minIntervalLength() The minimal interval length used for the interval generation.
int	numBins() Number of bins used for the CPEs.
int	numFolds() Number of folds used for the OOB probability estimation in the training phase.
boolean	zNormalization() Indicator whether the z transformation should be used for the instances at training and prediction time.
double	zProportion() Proportion of the total time series length to be used for the subseries generation.

Methods inherited from interface ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig

seed

Methods inherited from interface ai.libs.jaicore.basic.algorithm.IAlgorithmConfig

cpus, memory, threads, timeout

Methods inherited from interface ai.libs.jaicore.basic.IConfig

loadPropertiesFromFile, loadPropertiesFromList, loadPropertiesFromResource

Methods inherited from interface org.aeonbits.owner.Mutable

addPropertyChangeListener, addPropertyChangeListener, clear, load, load, removeProperty, removePropertyChangeListener, setProperty

Field Detail

K_NUMBINS

static final java.lang.String K_NUMBINS

See Also:

Constant Field Values

K_NUMFOLDS

static final java.lang.String K_NUMFOLDS

See Also:

Constant Field Values

K_ZPROP

static final java.lang.String K_ZPROP

See Also:

Constant Field Values

K_MIN_INTERVAL_LENGTH

static final java.lang.String K_MIN_INTERVAL_LENGTH

See Also:

Constant Field Values

K_USE_ZNORMALIZATION

static final java.lang.String K_USE_ZNORMALIZATION

See Also:

Constant Field Values

Method Detail

numBins

@Config.Key(value="numbins")
 @Config.DefaultValue(value="-1")
int numBins()

Number of bins used for the CPEs.

numFolds

@Config.Key(value="numfolds")
 @Config.DefaultValue(value="-1")
int numFolds()

Number of folds used for the OOB probability estimation in the training phase.

zProportion

@Config.Key(value="zprop")
 @Config.DefaultValue(value="1.0")
double zProportion()

Proportion of the total time series length to be used for the subseries generation.

zNormalization

@Config.Key(value="useznormalization")
 @Config.DefaultValue(value="false")
boolean zNormalization()

Indicator whether the z transformation should be used for the instances at training and prediction time.

minIntervalLength

@Config.Key(value="minintervallength")
 @Config.DefaultValue(value="1")
int minIntervalLength()

The minimal interval length used for the interval generation.