Class/Object

ksb.csle.component.operator.reduction

DecisionTreeInductOperator

Related Docs: object DecisionTreeInductOperator | package reduction

Permalink

class DecisionTreeInductOperator extends BaseDataOperator[StreamOperatorInfo, DataFrame]

:: ApplicationDeveloperApi ::

Operator that performs Decision Tree Induction. It selects the most relevant columns.

Linear Supertypes
BaseDataOperator[StreamOperatorInfo, DataFrame], BaseGenericOperator[StreamOperatorInfo, DataFrame], BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame], BaseDoer, Logging, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. DecisionTreeInductOperator
  2. BaseDataOperator
  3. BaseGenericOperator
  4. BaseGenericMutantOperator
  5. BaseDoer
  6. Logging
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new DecisionTreeInductOperator(o: StreamOperatorInfo)

    Permalink

    o

    Object that contains message ksb.csle.common.proto.StreamOperatorProto.DecisionTreeInductionInfo DecisionTreeInductionInfo contains attributes as follows:

    • labelName: Column name of label (required)
    • maxDepth: Size of the decision Tree (required)
    • minInfoGain: Minimum information gain for a split to be considered at a tree node (required)
    • minInstancesPerNode: Minimum number of instances each child must have after split (required)
    • maxBins: Maximum number of bins used for discretizing continuous features and for choosing how to split on features at each node (required)
    • cacheNodeIds: Parameter specifies whether caching is applied or not (required) If false, the algorithm will pass trees to executors to match instances with nodes. If true, the algorithm will cache node IDs for each instance.
    • checkpointInterval: Checkpoint interval(>= 1) or disable checkpoint(-1) (required)
    • impurityType: Inpurity type used for information gain calculation. Enum(GINI, ENTROPY) (required)

    DecisionTreeInductionInfo

    message DecisionTreeInductionInfo {
    required string labelName = 3;
    required int32 maxDepth = 4;
    required double minInfoGain = 5;
    required int32 minInstancesPerNode = 6 [default = 1];
    required int32 maxBins = 7;
    required bool cacheNodeIds = 8 [default = false];
    required int32 checkpointInterval = 9 [default = 10];
    required ImpurityType impurityType = 10 [default = GINI];
    enum ImpurityType {
        GINI = 0;
        ENTROPY = 1;
    }
    }

Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  11. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  12. val logger: Logger

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  13. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  14. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  16. def operate(df: DataFrame): DataFrame

    Permalink

    Operates Aggregate.

    Operates Aggregate.

    df

    Input dataframe

    returns

    DataFrame Output dataframe

    Definition Classes
    DecisionTreeInductOperator → BaseGenericOperator → BaseGenericMutantOperator
  17. val p: DecisionTreeInductionInfo

    Permalink
  18. def stop: Unit

    Permalink
    Definition Classes
    BaseGenericOperator → BaseGenericMutantOperator
  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  20. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  21. def validate(df: DataFrame): Unit

    Permalink

    validates DecisionTreeInduction info and dataframe schema info using following params.

    validates DecisionTreeInduction info and dataframe schema info using following params.

    Annotations
    @throws( classOf[KsbException] )
  22. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseDataOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame]

Inherited from BaseDoer

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped