ModelType Objects

Subclass of Enum.

This class enumerates the valid model types. These are largely based on the JDM 1.1 and draft JDM 2.0 data mining functions definition.

Constants:

• ANOMALY_DETECTION (ModelType) : Indicates an anomaly detection model.
• APPROXIMATION (ModelType) : Indicates that the model predicts a continuous value.
• ASSOCIATION (ModelType) : Indicates that the model identifies frequently occurring sets of items.
• ATTRIBUTE_IMPORTANCE (ModelType) : Indicates an attribute importance model.
• CATEGORIZE (ModelType) : Indicates a text categorize model.
• CLASSIFICATION (ModelType) : Indicates that the model predicts a discrete value.
• CLUSTERING (ModelType) : Indicates that the model groups similar rows of data together.
• CONCEPT_EXTRACTION (ModelType) : Indicates that the model identifies concepts from textual data.
• REDUCTION (ModelType) : Indicates that the model reduces the complexity of data.
• SEQUENCE (ModelType) : Indicates that the model identifies frequently occurring sequences of events.
• SUPERVISED_MULTITARGET (ModelType) : Indicates a supervised multi-target model.
• SURVIVAL_ANALYSIS (ModelType) : Indicates a survival analysis model.
• TIME_SERIES (ModelType) : Indicates a time series model.
• UNKNOWN (ModelType) : Indicates that the model type cannot be determined. This value should never be returned for any built-in model.

getEnum(name) : ModelType

name (string) : the enumeration name

Returns the enumeration with the supplied name or None if no enumeration exists for the supplied name.

getValues() : ModelType[]

Returns an array containing all the valid values for this enumeration class.

m.isUnknown() : boolean

Returns True if this value is ModelType.UNKNOWN.