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GaussianGmm_F64.copy
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copy
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org.ddogleg.clustering.gmm.GaussianGmm_F64

Best Java code snippets using org.ddogleg.clustering.gmm.GaussianGmm_F64.copy (Showing top 2 results out of 315)

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}
origin: lessthanoptimal/ddogleg

/**
 * Copy constructor
 */
public AssignGmm_F64( AssignGmm_F64 original ) {
  mixture = new ArrayList<GaussianGmm_F64>();
  for (int i = 0; i < original.mixture.size(); i++) {
    GaussianGmm_F64 o = original.mixture.get(i);
    mixture.add(o.copy());
  }
  int N = mixture.get(0).mean.getNumElements();
  glm = new GaussianLikelihoodManager(N,mixture);
  glm.precomputeAll();
}
origin: org.ddogleg/ddogleg

/**
 * Copy constructor
 */
public AssignGmm_F64( AssignGmm_F64 original ) {
  mixture = new ArrayList<GaussianGmm_F64>();
  for (int i = 0; i < original.mixture.size(); i++) {
    GaussianGmm_F64 o = original.mixture.get(i);
    mixture.add(o.copy());
  }
  int N = mixture.get(0).mean.getNumElements();
  glm = new GaussianLikelihoodManager(N,mixture);
  glm.precomputeAll();
}
org.ddogleg.clustering.gmmGaussianGmm_F64copy

Popular methods of GaussianGmm_F64

  • <init>
    Declares internal data strucures
  • addCovariance
    Helper function for computing Gaussian parameters. Adds the difference between point and mean to cov
  • addMean
    Helper function for computing Gaussian parameters. Adds the point to mean and weight.
  • setMean
    Sets the mean to be the same as the provided point\
  • zero
    Sets the mean, covariance, and weight to zero

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