public void RunTest() { // Valid input - Minimization { var optimizer = new SystemPerformanceOptimizer(); // Create the context. var testableContext = TestablePartitionOptimizationContext00.Get(); var context = testableContext.Context; // Set optimization parameters. int sampleSize = 2000; double rarity = 0.01; // Solve the problem. var results = optimizer.Optimize( context, rarity, sampleSize); Assert.AreEqual( expected: true, actual: results.HasConverged); var expectedPartition = IndexPartition.Create( testableContext.OptimalState); var actualPartition = IndexPartition.Create( results.OptimalState); IndexPartitionAssert.HaveEqualIdentifiers( expected: expectedPartition, actual: actualPartition); IndexPartitionAssert.HaveEqualParts( expected: expectedPartition, actual: actualPartition); Assert.AreEqual( expected: testableContext.OptimalPerformance, actual: results.OptimalPerformance, DoubleMatrixTest.Accuracy); } }
public void DiscoverTest() { // data is null { string parameterName = "data"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: null, maximumNumberOfParts: 2); }, expectedType: typeof(ArgumentNullException), expectedPartialMessage: ArgumentExceptionAssert.NullPartialMessage, expectedParameterName: parameterName); } // maximumNumberOfParts is one { var STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE = string.Format( ImplementationServices.GetResourceString( "STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE"), "1"); string parameterName = "maximumNumberOfParts"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: DoubleMatrix.Dense(10, 5), maximumNumberOfParts: 1); }, expectedType: typeof(ArgumentOutOfRangeException), expectedPartialMessage: STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE, expectedParameterName: parameterName); } // maximumNumberOfParts is zero { var STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE = string.Format( ImplementationServices.GetResourceString( "STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE"), "1"); string parameterName = "maximumNumberOfParts"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: DoubleMatrix.Dense(10, 5), maximumNumberOfParts: 0); }, expectedType: typeof(ArgumentOutOfRangeException), expectedPartialMessage: STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE, expectedParameterName: parameterName); } // maximumNumberOfParts is negative { var STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE = string.Format( ImplementationServices.GetResourceString( "STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE"), "1"); string parameterName = "maximumNumberOfParts"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: DoubleMatrix.Dense(10, 5), maximumNumberOfParts: -1); }, expectedType: typeof(ArgumentOutOfRangeException), expectedPartialMessage: STR_EXCEPT_PAR_MUST_BE_GREATER_THAN_VALUE, expectedParameterName: parameterName); } // maximumNumberOfParts is equal to the number of rows in data { var STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS = string.Format( ImplementationServices.GetResourceString( "STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS"), "maximumNumberOfParts", "data"); string parameterName = "maximumNumberOfParts"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: DoubleMatrix.Dense(10, 5), maximumNumberOfParts: 10); }, expectedType: typeof(ArgumentException), expectedPartialMessage: STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS, expectedParameterName: parameterName); } // maximumNumberOfParts is greater than the number of rows in data { var STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS = string.Format( ImplementationServices.GetResourceString( "STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS"), "maximumNumberOfParts", "data"); string parameterName = "maximumNumberOfParts"; ArgumentExceptionAssert.Throw( () => { Clusters.Discover( data: DoubleMatrix.Dense(10, 5), maximumNumberOfParts: 11); }, expectedType: typeof(ArgumentException), expectedPartialMessage: STR_EXCEPT_PAR_MUST_BE_LESS_THAN_OTHER_ROWS, expectedParameterName: parameterName); } // Valid input { const int numberOfItems = 12; const int numberOfFeatures = 7; var source = DoubleMatrix.Dense(numberOfItems, 1, new double[numberOfItems] { 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2 }); var expectedPartition = IndexPartition.Create(source); var data = DoubleMatrix.Dense(numberOfItems, numberOfFeatures); double mu = 1.0; var partIdentifiers = expectedPartition.Identifiers; for (int i = 0; i < partIdentifiers.Count; i++) { var part = expectedPartition[partIdentifiers[i]]; int partSize = part.Count; for (int j = 0; j < partSize; j++) { data[part[j], ":"] += mu; } mu += 5.0; } var actualPartition = Clusters.Discover( data: data, maximumNumberOfParts: 3); IndexPartitionAssert.HaveEqualIdentifiers( expected: expectedPartition, actual: actualPartition); IndexPartitionAssert.HaveEqualParts( expected: expectedPartition, actual: actualPartition); } }