public void InDependent()
{
IDictionary <string, Stats> actual = target.Select(new Dictionary <string, Stats> {
{ "test", new Stats {
N00 = 25, N10 = 14, N11 = 36, N01 = 30, N = 105
} }
});
Assert.IsFalse(actual.Any());
}
/// <summary>
/// Primary generation method. Summary:
///
/// 1. Gather feature list (stubbed for now)
/// 2. Generate starting room
/// 3. If ending condition is met, goto 10. Else continue.
/// 4. Select next Feature.
/// 5. Select next position.
/// 6. Compute all valid configurations.
/// 7. Select next configuration.
/// 8. Add all the Sections of the configured Feature.
/// 9. Goto 3.
/// 10. Done.
/// </summary>
private void Generate()
{
// Temporary: feature list
Feature basicFeature = new Feature();
// TODO I don't think this works properly with connections specified.
basicFeature.Add(new Vector2Int(0, 0), Connection.All, externalConnections: Connection.All);
Feature[] featureList = { basicFeature };
// Initialize with a single starting room
// Later, this can be e.g. a specific starting chamber.
grid[0, 0] = Section.Default();
// Pick some ending condition. For now it's just "try 100 times".
int count = 0;
while (count++ < 100)
{
Feature nextFeature = featureSelector.Select(featureList);
if (nextFeature == null)
{
Debug.Log("Failed to get valid Feature.");
continue;
}
Vector2Int nextPosition = positionSelector.Select(new ReadOnlyGrid(grid));
// Get all valid placements
List <Feature.Configuration> configurations = nextFeature.CanConnect(new ReadOnlyGrid(grid), nextPosition);
if (configurations.Count == 0)
{
Debug.Log("Failed to find valid configuration at position: " + nextPosition);
continue;
}
// Choose one of those placements
Feature.Configuration configuration = configurationSelector.Select(configurations.ToArray());
// Add that Feature in
Dictionary <Vector2Int, Section> toAdd = nextFeature.GetConfiguration(configuration);
foreach (KeyValuePair <Vector2Int, Section> pair in toAdd)
{
grid[pair.Key] = pair.Value;
}
}
}
// Extract data with the given generic criteria
public void Extract(
ISampleSelector sampleSelector,
IFeatureSelector featureSelector )
{
// TODO: Change to Q or Y data
// Get the table of financial data
Table<QLSample> qlSamples = dc.GetTable<QLSample>( );
// copy the data to the list of training cases
data = new ClassificationData( );
foreach (QLSample sample in qlSamples)
{
// Apply the sample selection criteria
if (sampleSelector.Select( sample ))
{
// Apply the feature selection criteria
data.Samples.Add( featureSelector.Select( sample ) );
}
}
}
// Extract data with the given generic criteria
public void Extract(
ISampleSelector sampleSelector,
IFeatureSelector featureSelector)
{
// TODO: Change to Q or Y data
// Get the table of financial data
Table <QLSample> qlSamples = dc.GetTable <QLSample>( );
// copy the data to the list of training cases
data = new ClassificationData( );
foreach (QLSample sample in qlSamples)
{
// Apply the sample selection criteria
if (sampleSelector.Select(sample))
{
// Apply the feature selection criteria
data.Samples.Add(featureSelector.Select(sample));
}
}
}