ai.libs.jaicore.ml.tsc.classifier

Interface BOSSLearningAlgorithm.IBossAlgorithmConfig

All Superinterfaces:

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

Enclosing class:

BOSSLearningAlgorithm

public static interface BOSSLearningAlgorithm.IBossAlgorithmConfig
extends ai.libs.jaicore.basic.algorithm.IAlgorithmConfig

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_ALPHABET
static java.lang.String	K_ALPHABET_SIZE
static java.lang.String	K_MEANCORRECTED
static java.lang.String	K_WINDOW_SIZE
static java.lang.String	K_WORDLENGTH

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
double[]	alphabet() The alphabet consists of doubles representing letters and defines each word.
int	alphabetSize() The alphabet size determines the number of Bins for the SFA Histograms.
boolean	meanCorrected() If mean corrected is set to true than the first DFT coefficient is dropped to normalize the mean.
int	windowSize() The size of the sliding window that is used over each instance and splits it into multiple smaller instances.
int	wordLength() The word length determines the number of used DFT-coefficients.

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_WINDOW_SIZE

static final java.lang.String K_WINDOW_SIZE

See Also:

Constant Field Values

K_ALPHABET_SIZE

static final java.lang.String K_ALPHABET_SIZE

See Also:

Constant Field Values

K_ALPHABET

static final java.lang.String K_ALPHABET

See Also:

Constant Field Values

K_WORDLENGTH

static final java.lang.String K_WORDLENGTH

See Also:

Constant Field Values

K_MEANCORRECTED

static final java.lang.String K_MEANCORRECTED

See Also:

Constant Field Values

Method Detail

windowSize

@Config.Key(value="boss.windowsize")
int windowSize()

The size of the sliding window that is used over each instance and splits it into multiple smaller instances.

alphabetSize

@Config.Key(value="boss.alphabetsize")
 @Config.DefaultValue(value="4")
int alphabetSize()

The alphabet size determines the number of Bins for the SFA Histograms. Four was determined empirical as an optimal value for the alphabet size. cf.p. 1519 "The BOSS is concerned with time series classification in the presence of noise by Patrick Schäfer"

alphabet

@Config.Key(value="boss.alphabet")
double[] alphabet()

The alphabet consists of doubles representing letters and defines each word.

wordLength

@Config.Key(value="boss.wordlength")
int wordLength()

The word length determines the number of used DFT-coefficients. Where the DFT-coefficients are half the word length.

meanCorrected

@Config.Key(value="boss.meancorrected")
boolean meanCorrected()

If mean corrected is set to true than the first DFT coefficient is dropped to normalize the mean. c.f.p. 1519 "The BOSS is concerned with time series classification in the presence of noise by Patrick Schäfer"