Class KMC2ChainInitialization
java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.cluster.KMC2ChainInitialization
@Operator(group="cluster")
public final class KMC2ChainInitialization
extends RawOp
implements Operand<TInt64>
Returns the index of a data point that should be added to the seed set.
Entries in distances are assumed to be squared distances of candidate points to
the already sampled centers in the seed set. The op constructs one Markov chain
of the k-MC^2 algorithm and returns the index of one candidate point to be added
as an additional cluster center.
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Nested Class Summary
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Field Summary
FieldsModifier and TypeFieldDescriptionstatic final StringThe name of this op, as known by TensorFlow core engine -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionasOutput()Returns the symbolic handle of the tensor.static KMC2ChainInitializationFactory method to create a class wrapping a new KMC2ChainInitialization operation.index()Gets index.
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Field Details
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OP_NAME
The name of this op, as known by TensorFlow core engine- See Also:
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Constructor Details
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KMC2ChainInitialization
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Method Details
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create
@Endpoint(describeByClass=true) public static KMC2ChainInitialization create(Scope scope, Operand<TFloat32> distances, Operand<TInt64> seed) Factory method to create a class wrapping a new KMC2ChainInitialization operation.- Parameters:
scope- current scopedistances- Vector with squared distances to the closest previously sampled cluster center for each candidate point.seed- Scalar. Seed for initializing the random number generator.- Returns:
- a new instance of KMC2ChainInitialization
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index
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asOutput
Description copied from interface:OperandReturns the symbolic handle of the tensor.Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
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