class ClusteringAttributes extends ModelAttributes with HasClusteringAttributes
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Instance Constructors
- new ClusteringAttributes(attributes: ModelAttributes, modelClass: ModelClass, numberOfClusters: Int)
- new ClusteringAttributes(modelClass: ModelClass, numberOfClusters: Int, functionName: MiningFunction, modelName: Option[String] = None, algorithmName: Option[String] = None, isScorable: Boolean = true)
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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.
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- ClusteringAttributes → ModelAttributes → HasModelAttributes
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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.
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- ClusteringAttributes → ModelAttributes → HasModelAttributes
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- def isAssociationRules: Boolean
Tests if this is a association rules model.
Tests if this is a association rules model.
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- HasModelAttributes
- def isClassification: Boolean
Tests if this is a classification model.
Tests if this is a classification model.
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- HasModelAttributes
- def isClustering: Boolean
Tests if this is a clustering model.
Tests if this is a clustering model.
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- def isMixed: Boolean
Tests if this is a mixed model.
Tests if this is a mixed model.
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- def isRegression: Boolean
Tests if this is a regression model.
Tests if this is a regression model.
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- 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
- ClusteringAttributes → ModelAttributes → HasModelAttributes
- def isSequences: Boolean
Tests if this is a sequences model.
Tests if this is a sequences model.
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- HasModelAttributes
- def isTimeSeries: Boolean
Tests if this is a time series model.
Tests if this is a time series model.
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- HasModelAttributes
- val modelClass: ModelClass
Specifies whether the clusters are defined by center-vectors or whether they are defined by the statistics.
Specifies whether the clusters are defined by center-vectors or whether they are defined by the statistics. The latter is used by distribution-based clustering.
- Definition Classes
- ClusteringAttributes → HasClusteringAttributes
- 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.
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- ClusteringAttributes → ModelAttributes → HasModelAttributes
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- val numberOfClusters: Int
The numberOfClusters attribute must be equal to the number of Cluster elements in the ClusteringModel.
The numberOfClusters attribute must be equal to the number of Cluster elements in the ClusteringModel.
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- ClusteringAttributes → HasClusteringAttributes
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