本文整理了Java中gov.sandia.cognition.math.matrix.Vector.stack()方法的一些代码示例，展示了Vector.stack()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Vector.stack()方法的具体详情如下：
包路径：gov.sandia.cognition.math.matrix.Vector
类名称：Vector
方法名：stack

Vector.stack介绍

[英]Stacks "other" below "this" and returns the stacked Vector
[中]在“this”下面叠加“other”并返回叠加向量

代码示例

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

@Override
public Vector convertToVector()
{
  Vector p = super.convertToVector();
  return p.stack( this.getBias() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-common-core

public Vector convertToVector()
{
  return this.getAutoRegressiveCoefficients().stack(
    this.getMovingAverageCoefficients() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

public Vector convertToVector()
{
  Vector c = VectorFactory.getDefault().copyValues( this.covarianceDivisor );
  c = c.stack( this.gaussian.getMean() );
  return c.stack( this.inverseWishart.convertToVector() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

@Override
public Vector convertToVector()
{
  return this.mean.stack(this.getCovariance().convertToVector());
}

代码示例来源：origin: algorithmfoundry/Foundry

public Vector convertToVector()
{
  Vector c = VectorFactory.getDefault().copyValues( this.covarianceDivisor );
  c = c.stack( this.gaussian.getMean() );
  return c.stack( this.inverseWishart.convertToVector() );
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  return this.mean.stack(this.getCovariance().convertToVector());
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  return this.mean.stack(this.getCovariance().convertToVector());
}

代码示例来源：origin: algorithmfoundry/Foundry

public Vector convertToVector()
{
  Vector c = VectorFactory.getDefault().copyValues( this.covarianceDivisor );
  c = c.stack( this.gaussian.getMean() );
  return c.stack( this.inverseWishart.convertToVector() );
}

代码示例来源：origin: algorithmfoundry/Foundry

public Vector convertToVector()
{
  return this.getAutoRegressiveCoefficients().stack(
    this.getMovingAverageCoefficients() );
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  Vector p = super.convertToVector();
  return p.stack( this.getBias() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

public Vector convertToVector()
{
  Vector parameters = VectorFactory.getDefault().copyValues(
    this.getDegreesOfFreedom() );
  parameters = parameters.stack( this.getMean() );
  parameters = parameters.stack( this.getPrecision().convertToVector() );
  return parameters;
}

代码示例来源：origin: algorithmfoundry/Foundry

public Vector convertToVector()
{
  Vector parameters = VectorFactory.getDefault().copyValues(
    this.getDegreesOfFreedom() );
  parameters = parameters.stack( this.getMean() );
  parameters = parameters.stack( this.getPrecision().convertToVector() );
  return parameters;
}

代码示例来源：origin: algorithmfoundry/Foundry

public Vector convertToVector()
{
  Vector parameters = VectorFactory.getDefault().copyValues(
    this.getDegreesOfFreedom() );
  parameters = parameters.stack( this.getMean() );
  parameters = parameters.stack( this.getPrecision().convertToVector() );
  return parameters;
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  return this.getGaussian().convertToVector().stack(
    this.getInverseGamma().convertToVector() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

@Override
public Vector convertToVector()
{
  return this.getGaussian().convertToVector().stack(
    this.getInverseGamma().convertToVector() );
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-text-core

@Override
protected void growVectors(
  final int newDimensionality)
{
  super.growVectors(newDimensionality);
  this.termEntropiesSum = this.termEntropiesSum.stack(
    this.getVectorFactory().createVector(
      newDimensionality - this.termEntropiesSum.getDimensionality()));
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
protected void growVectors(
  final int newDimensionality)
{
  super.growVectors(newDimensionality);
  this.termEntropiesSum = this.termEntropiesSum.stack(
    this.getVectorFactory().createVector(
      newDimensionality - this.termEntropiesSum.getDimensionality()));
}

代码示例来源：origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

@Override
public Vector convertToVector()
{
  Vector dof =
    VectorFactory.getDefault().copyValues( this.getDegreesOfFreedom() );
  Vector matrix = this.getInverseScale().convertToVector();
  return dof.stack(matrix);
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  Vector dof =
    VectorFactory.getDefault().copyValues( this.getDegreesOfFreedom() );
  Vector matrix = this.getInverseScale().convertToVector();
  return dof.stack(matrix);
}

代码示例来源：origin: algorithmfoundry/Foundry

@Override
public Vector convertToVector()
{
  Vector dof =
    VectorFactory.getDefault().copyValues( this.getDegreesOfFreedom() );
  Vector matrix = this.getInverseScale().convertToVector();
  return dof.stack(matrix);
}