Examples of marginalize()

Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{0.211, 0.789 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{.001, 0.999}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{1.0, 0.0}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.291, 0.709}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }

    @Test
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{.001, 0.999}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{1.0, 0.0}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.291, 0.709}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }

    @Test
    public void testJoinCallsEvidence() {
        BayesInstance bayesInstance = new BayesInstance(jTree);
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        BayesInstance bayesInstance = new BayesInstance(jTree);

        bayesInstance.setLikelyhood("JohnCalls", new double[]{1.0, 0.0});
        bayesInstance.globalUpdate();

        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.04, 0.96 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.016, 0.984}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        bayesInstance.setLikelyhood("JohnCalls", new double[]{1.0, 0.0});
        bayesInstance.globalUpdate();

        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.04, 0.96 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.016, 0.984}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{0.011, 0.989}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.04, 0.96 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.016, 0.984}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{0.011, 0.989}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.043, 0.957}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{0.04, 0.96 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.016, 0.984}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{0.011, 0.989}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.043, 0.957}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }

    @Test
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{0.016, 0.984}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{0.011, 0.989}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.043, 0.957}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }

    @Test
    public void testEarthquakeAndJohnCallsEvidence() {
        BayesInstance bayesInstance = new BayesInstance(jTree);
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        bayesInstance.setLikelyhood("JohnCalls", new double[]{1.0, 0.0});
        bayesInstance.setLikelyhood("Earthquake", new double[]{1.0, 0.0});

        bayesInstance.globalUpdate();

        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.618, 0.382 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.003, 0.997}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        bayesInstance.globalUpdate();

        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.618, 0.382 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.003, 0.997}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{ 1.0, 0.0}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );
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Examples of org.drools.beliefs.bayes.BayesInstance.marginalize()

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        assertArray( new double[]{1.0, 0.0}, scaleDouble(3, bayesInstance.marginalize("JohnCalls").getDistribution()) );

        assertArray( new double[]{0.618, 0.382 }, scaleDouble( 3, bayesInstance.marginalize("MaryCalls").getDistribution() ) );

        assertArray( new double[]{0.003, 0.997}, scaleDouble(3, bayesInstance.marginalize("Burglary").getDistribution()) );

        assertArray( new double[]{ 1.0, 0.0}, scaleDouble( 3, bayesInstance.marginalize("Earthquake").getDistribution() ) );

        assertArray( new double[]{0.881, 0.119}, scaleDouble(3, bayesInstance.marginalize("Alarm").getDistribution()) );
    }
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