Class KMC2ChainInitialization

java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.cluster.KMC2ChainInitialization
All Implemented Interfaces:
Shaped, Op, Operand<TInt64>

@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.
  • Field Details

  • Constructor Details

    • KMC2ChainInitialization

      public KMC2ChainInitialization(Operation operation)
  • Method Details

    • 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 scope
      distances - 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
    • index

      public Output<TInt64> index()
      Gets index. Scalar with the index of the sampled point.
      Returns:
      index.
    • asOutput

      public Output<TInt64> asOutput()
      Description copied from interface: Operand
      Returns 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.

      Specified by:
      asOutput in interface Operand<TInt64>
      See Also: