org.deeplearning4j.models.sequencevectors.graph.walkers.impl

Class WeightedWalker.Builder<T extends SequenceElement>

java.lang.Object

org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder<T>

org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder<T>

Enclosing class:

WeightedWalker<T extends SequenceElement>

public static class WeightedWalker.Builder<T extends SequenceElement>
extends RandomWalker.Builder<T>

Field Summary

Fields inherited from class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder

alpha, noEdgeHandling, seed, sourceGraph, walkDirection, walkLength

Constructor Summary

Constructors

Constructor and Description
Builder(IGraph<T,? extends java.lang.Number> sourceGraph)

Method Summary

Modifier and Type	Method and Description
WeightedWalker<T>	build() This method builds RandomWalker instance
WeightedWalker.Builder<T>	setNoEdgeHandling(NoEdgeHandling handling) This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
RandomWalker.Builder<T>	setRestartProbability(double alpha) This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
WeightedWalker.Builder<T>	setSeed(long seed) This method specifies random seed.
WeightedWalker.Builder<T>	setWalkDirection(WalkDirection direction) This method defines next hop selection within walk
WeightedWalker.Builder<T>	setWalkLength(int walkLength) This method specifies output sequence (walk) length

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder(IGraph<T,? extends java.lang.Number> sourceGraph)

Method Detail

setWalkLength

public WeightedWalker.Builder<T> setWalkLength(int walkLength)

This method specifies output sequence (walk) length

Overrides:

setWalkLength in class RandomWalker.Builder<T extends SequenceElement>

Parameters:

walkLength -

Returns:

setNoEdgeHandling

public WeightedWalker.Builder<T> setNoEdgeHandling(@NonNull
                                                   NoEdgeHandling handling)

This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED

Overrides:

setNoEdgeHandling in class RandomWalker.Builder<T extends SequenceElement>

Parameters:

handling -

Returns:

setSeed

public WeightedWalker.Builder<T> setSeed(long seed)

This method specifies random seed.

Overrides:

setSeed in class RandomWalker.Builder<T extends SequenceElement>

Parameters:

seed -

Returns:

setWalkDirection

public WeightedWalker.Builder<T> setWalkDirection(@NonNull
                                                  WalkDirection direction)

This method defines next hop selection within walk

Overrides:

setWalkDirection in class RandomWalker.Builder<T extends SequenceElement>

Parameters:

direction -

Returns:

setRestartProbability

public RandomWalker.Builder<T> setRestartProbability(double alpha)

This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07

Overrides:

setRestartProbability in class RandomWalker.Builder<T extends SequenceElement>

Parameters:

alpha -

Returns:

build

public WeightedWalker<T> build()

Description copied from class: RandomWalker.Builder

This method builds RandomWalker instance

Overrides:

build in class RandomWalker.Builder<T extends SequenceElement>

Returns: