test_class.declarator: mixture
test_class.modifier: private
test_class.original_string: private DistributionMixture<Constant> mixture;
test_class.type: DistributionMixture<Constant>
test_class.var_name: mixture
test_class.file: modules/ml/src/test/java/org/apache/ignite/ml/math/stat/DistributionMixtureTest.java
test_class.identifier: DistributionMixtureTest
test_case.body: @Test
      public void testProb() {
          assertEquals(0.45, mixture.prob(VectorUtils.of(1.)), 1e-4);
      }
test_case.class_method_signature: DistributionMixtureTest.testProb()
test_case.full_signature: @Test public void testProb()
test_case.identifier: testProb
test_case.invocations: assertEquals prob of
test_case.modifiers: @Test public
test_case.parameters: ()
test_case.return: void
test_case.signature: void testProb()
focal_class.declarator: componentProbs
focal_class.modifier: private final
focal_class.original_string: private final Vector componentProbs;
focal_class.type: Vector
focal_class.var_name: componentProbs
focal_class.declarator: distributions
focal_class.modifier: private final
focal_class.original_string: private final List<C> distributions;
focal_class.type: List<C>
focal_class.var_name: distributions
focal_class.declarator: dimension
focal_class.modifier: private final
focal_class.original_string: private final int dimension;
focal_class.type: int
focal_class.var_name: dimension
focal_class.file: modules/ml/src/main/java/org/apache/ignite/ml/math/stat/DistributionMixture.java
focal_class.identifier: DistributionMixture
focal_class.interfaces: implements Distribution
focal_class.class_method_signature: DistributionMixture.DistributionMixture(Vector componentProbs, List<C> distributions)
focal_class.full_signature: public  DistributionMixture(Vector componentProbs, List<C> distributions)
focal_class.identifier: DistributionMixture
focal_class.modifiers: public
focal_class.parameters: (Vector componentProbs, List<C> distributions)
focal_class.signature:  DistributionMixture(Vector componentProbs, List<C> distributions)
focal_class.class_method_signature: DistributionMixture.prob(Vector x)
focal_class.full_signature: @Override public double prob(Vector x)
focal_class.identifier: prob
focal_class.modifiers: @Override public
focal_class.parameters: (Vector x)
focal_class.return: double
focal_class.signature: double prob(Vector x)
focal_class.class_method_signature: DistributionMixture.likelihood(Vector x)
focal_class.full_signature: public Vector likelihood(Vector x)
focal_class.identifier: likelihood
focal_class.modifiers: public
focal_class.parameters: (Vector x)
focal_class.return: Vector
focal_class.signature: Vector likelihood(Vector x)
focal_class.class_method_signature: DistributionMixture.countOfComponents()
focal_class.full_signature: public int countOfComponents()
focal_class.identifier: countOfComponents
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: int
focal_class.signature: int countOfComponents()
focal_class.class_method_signature: DistributionMixture.componentsProbs()
focal_class.full_signature: public Vector componentsProbs()
focal_class.identifier: componentsProbs
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: Vector
focal_class.signature: Vector componentsProbs()
focal_class.class_method_signature: DistributionMixture.distributions()
focal_class.full_signature: public List<C> distributions()
focal_class.identifier: distributions
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: List<C>
focal_class.signature: List<C> distributions()
focal_class.class_method_signature: DistributionMixture.dimension()
focal_class.full_signature: @Override public int dimension()
focal_class.identifier: dimension
focal_class.modifiers: @Override public
focal_class.parameters: ()
focal_class.return: int
focal_class.signature: int dimension()
focal_method.body: @Override public double prob(Vector x) {
          return likelihood(x).sum();
      }
focal_method.class_method_signature: DistributionMixture.prob(Vector x)
focal_method.full_signature: @Override public double prob(Vector x)
focal_method.identifier: prob
focal_method.invocations: sum likelihood
focal_method.modifiers: @Override public
focal_method.parameters: (Vector x)
focal_method.return: double
focal_method.signature: double prob(Vector x)