trait HasWrappedRegressionAttributes extends HasWrappedModelAttributes with HasRegressionAttributes
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abstract
def
attributes: RegressionAttributes
Common attributes of this model
Common attributes of this model
- Definition Classes
- HasWrappedRegressionAttributes → HasWrappedModelAttributes
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
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
- HasWrappedModelAttributes → HasModelAttributes
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
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
- HasWrappedModelAttributes → HasModelAttributes
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final
def
getClass(): Class[_]
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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
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def
isClassification: Boolean
Tests if this is a classification model.
Tests if this is a classification model.
- Definition Classes
- HasModelAttributes
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def
isClustering: Boolean
Tests if this is a clustering model.
Tests if this is a clustering model.
- Definition Classes
- HasModelAttributes
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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
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def
isRegression: Boolean
Tests if this is a regression model.
Tests if this is a regression model.
- Definition Classes
- HasModelAttributes
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def
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
- HasWrappedModelAttributes → HasModelAttributes
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def
isSequences: Boolean
Tests if this is a sequences model.
Tests if this is a sequences model.
- Definition Classes
- HasModelAttributes
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def
isTimeSeries: Boolean
Tests if this is a time series model.
Tests if this is a time series model.
- Definition Classes
- HasModelAttributes
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def
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
- HasWrappedModelAttributes → HasModelAttributes
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def
modelType: Option[RegressionModelType]
- Definition Classes
- HasWrappedRegressionAttributes → HasRegressionAttributes
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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def
normalizationMethod: RegressionNormalizationMethod
- Definition Classes
- HasWrappedRegressionAttributes → HasRegressionAttributes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
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
- HasWrappedRegressionAttributes → HasRegressionAttributes
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def
toString(): String
- Definition Classes
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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