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);
}
}
