Examples of FiniteBayesModel

aima.core.probability.bayes.model.FiniteBayesModel
Very simple implementation of the FiniteProbabilityModel API using a Bayesian Network, consisting of FiniteNodes, to represent the underlying model.

Note: The implementation currently doesn't take advantage of the use of evidence values when calculating posterior values using the provided Bayesian Inference implementation (e.g enumerationAsk). Instead it simply creates a joint distribution over the scope of the propositions (i.e. using the inference implementation with just query variables corresponding to the scope of the propositions) and then iterates over this to get the appropriate probability values. A smarter version, in the general case, would need to dynamically create deterministic nodes to represent the outcome of logical and derived propositions (e.g. conjuncts and summations over variables) in order to be able to correctly calculate using evidence values. @author Ciaran O'Reilly

Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_MeningitisStiffNeckModel() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_MeningitisStiffNeckModel(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructMeningitisStiffNeckNetwork(),
          bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_BurglaryAlarmModel() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_BurglaryAlarmModel(new FiniteBayesModel(
          BayesNetExampleFactory.constructBurglaryAlarmNetwork(), bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  //
  // FiniteProbabilityModel Tests
  @Test
  public void test_RollingPairFairDiceModel_Distributions() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_RollingPairFairDiceModel_Distributions(new FiniteBayesModel(
          BayesNetExampleFactory.construct2FairDiceNetwor(), bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_ToothacheCavityCatchModel_Distributions() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_ToothacheCavityCatchModel_Distributions(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructToothacheCavityCatchNetwork(),
          bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_ToothacheCavityCatchWeatherModel_Distributions() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_ToothacheCavityCatchWeatherModel_Distributions(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructToothacheCavityCatchWeatherNetwork(),
          bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_MeningitisStiffNeckModel_Distributions() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_MeningitisStiffNeckModel_Distributions(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructMeningitisStiffNeckNetwork(),
          bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_BurglaryAlarmModel_Distributions() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_BurglaryAlarmModel_Distributions(new FiniteBayesModel(
          BayesNetExampleFactory.constructBurglaryAlarmNetwork(), bi));
    }
  }

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