class RegressionAttributes extends ModelAttributes with HasRegressionAttributes
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Instance Constructors
- new RegressionAttributes(functionName: MiningFunction, modelName: Option[String] = None, algorithmName: Option[String] = None, isScorable: Boolean = true, modelType: Option[RegressionModelType] = None, targetFieldName: Option[String] = None, normalizationMethod: RegressionNormalizationMethod = RegressionNormalizationMethod.none)
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- val algorithmName: Option[String]
The algorithm name is free-type and can be any description for the specific algorithm that produced the model.
The algorithm name is free-type and can be any description for the specific algorithm that produced the model. This attribute is for information only.
- Definition Classes
- RegressionAttributes → ModelAttributes → HasModelAttributes
- final def asInstanceOf[T0]: T0
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- val functionName: MiningFunction
Describe the kind of mining model, e.g., whether it is intended to be used for clustering or for classification.
Describe the kind of mining model, e.g., whether it is intended to be used for clustering or for classification.
- Definition Classes
- RegressionAttributes → ModelAttributes → HasModelAttributes
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- def isAssociationRules: Boolean
Tests if this is a association rules model.
Tests if this is a association rules model.
- Definition Classes
- HasModelAttributes
- def isClassification: Boolean
Tests if this is a classification model.
Tests if this is a classification model.
- Definition Classes
- HasModelAttributes
- def isClustering: Boolean
Tests if this is a clustering model.
Tests if this is a clustering model.
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- HasModelAttributes
- final def isInstanceOf[T0]: Boolean
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- def isMixed: Boolean
Tests if this is a mixed model.
Tests if this is a mixed model.
- Definition Classes
- HasModelAttributes
- def isRegression: Boolean
Tests if this is a regression model.
Tests if this is a regression model.
- Definition Classes
- HasModelAttributes
- val isScorable: Boolean
Indicates if the model is valid for scoring.
Indicates if the model is valid for scoring. If this attribute is true or if it is missing, then the model should be processed normally. However, if the attribute is false, then the model producer has indicated that this model is intended for information purposes only and should not be used to generate results.
- Definition Classes
- RegressionAttributes → ModelAttributes → HasModelAttributes
- def isSequences: Boolean
Tests if this is a sequences model.
Tests if this is a sequences model.
- Definition Classes
- HasModelAttributes
- def isTimeSeries: Boolean
Tests if this is a time series model.
Tests if this is a time series model.
- Definition Classes
- HasModelAttributes
- val modelName: Option[String]
Identifies the model with a unique name in the context of the PMML file.
Identifies the model with a unique name in the context of the PMML file. This attribute is not required. Consumers of PMML models are free to manage the names of the models at their discretion.
- Definition Classes
- RegressionAttributes → ModelAttributes → HasModelAttributes
- val modelType: Option[RegressionModelType]
- Definition Classes
- RegressionAttributes → HasRegressionAttributes
- final def ne(arg0: AnyRef): Boolean
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- val normalizationMethod: RegressionNormalizationMethod
- Definition Classes
- RegressionAttributes → HasRegressionAttributes
- final def notify(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
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- final def synchronized[T0](arg0: => T0): T0
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- val targetFieldName: Option[String]
The name of the target field (also called dependent variable).
The name of the target field (also called dependent variable). The attribute targetFieldName is for information only.
- Definition Classes
- RegressionAttributes → HasRegressionAttributes
- def toString(): String
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- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
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