public static interface TimeSeriesTreeLearningAlgorithm.ITimeSeriesTreeConfig
extends ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig
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| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
K_FEATURECACHING |
static java.lang.String |
K_MAXDEPTH |
| Modifier and Type | Method and Description |
|---|---|
int |
maxDepth() |
boolean |
useFeatureCaching()
Indicator whether feature caching should be used.
|
cpus, memory, threads, timeoutstatic final java.lang.String K_MAXDEPTH
static final java.lang.String K_FEATURECACHING
@Config.Key(value="maxdepth") @Config.DefaultValue(value="-1") int maxDepth()
@Config.Key(value="featurecaching") @Config.DefaultValue(value="false") boolean useFeatureCaching()