Package org.apache.commons.math3.distribution

Examples of org.apache.commons.math3.distribution.UniformRealDistribution.sample()

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            for ( int i = 0; i < this.connectionWeights.numRows(); i++ ) {

                // u.sample( "number of cols in weights" )

                double[] rowSamples = u.sample( this.connectionWeights.numCols() );

                this.connectionWeights.viewRow(i).assign(rowSamples);


            }
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    for (int r = 0; r < this.connectionWeights.numRows(); r++) {
     
      for(int c = 0; c < this.connectionWeights.numCols(); c++) {
     
        double init_weight = u.sample( );
       
      //  System.out.println("w: " + init_weight);
       
        this.connectionWeights.setQuick( r, c, init_weight );
     
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    for (int r = 0; r < this.connectionWeights.numRows(); r++) {
     
      for(int c = 0; c < this.connectionWeights.numCols(); c++) {
     
        this.connectionWeights.setQuick( r, c, u.sample() );
     
      }

    } 
   
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     * MATH-720
     */
    public void testReseed() {
        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

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        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

}
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     * MATH-720
     */
    public void testReseed() {
        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

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        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

}
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     * MATH-720
     */
    public void testReseed() {
        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

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        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

}
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     * MATH-720
     */
    public void testReseed() {
        PoissonDistribution x = new PoissonDistribution(3.0);
        x.reseedRandomGenerator(0);
        final double u = x.sample();
        PoissonDistribution y = new PoissonDistribution(3.0);
        y.reseedRandomGenerator(0);
        Assert.assertEquals(u, y.sample(), 0);
    }

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