List of computeWalkSequences() Examples

Examples of computeWalkSequences()

statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()
Given the number of cores to parallelise over, this method computes test/walk sequences for each state of the supplied graph. Results are stored in the stateToCorrespondingGraph map which is accessible to the inner instances of DDRH_BCR. The graph to work from is the forward matrix. @param randomGenerator the random number generator to be used for the construction of random walks. @param ThreadNumber the number of threads to use when building deterministic graphs and generating random walks.

Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

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Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

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Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

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Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

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Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

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Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

View Full Code Here

Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

View Full Code Here

Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

View Full Code Here

Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

View Full Code Here

Examples of statechum.analysis.learning.linear.GDLearnerGraph.computeWalkSequences()

    switch(coregraph.config.getGdScoreComputationAlgorithm())
    {
    case SCORE_RANDOMPATHS:
    case SCORE_TESTSET:
      // build (1) deterministic machines for each state and (2) walks from each state. 
      ndGraph.computeWalkSequences(randomWalkGenerator, ThreadNumber);
      break;
    case SCORE_LINEAR:
      break;
    default:
      throw new IllegalArgumentException("computation algorithm "+coregraph.config.getGdScoreComputationAlgorithm()+" is not currently supported");

View Full Code Here

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