public void ShouldConvertFromDataTable()
{
var reader = new ExcelReader();
var excelFileName = "Sample.xlsx";
var excelFilePath = Path.Combine(CommonUtils.ResourcesDirectory, excelFileName);
// Получаем DataTable, заодно проверяем работу провайдера данных из Excel
var dataTable = reader.ReadFromFile(excelFilePath);
Assert.IsNotNull(dataTable);
Assert.IsTrue(dataTable.Rows.Count > 0);
Assert.IsTrue(dataTable.Columns.Count > 0);
Assert.IsNotNull(dataTable.Rows[0][0]);
// Проверяем конвертер
var networkConverter = new NetworkDataSetConverter();
var networkDataSet = networkConverter.Convert(dataTable);
Assert.IsNotNull(networkDataSet);
Assert.IsTrue(networkDataSet.Entities != null && networkDataSet.Entities.Any());
Assert.IsTrue(networkDataSet.Attributes != null && networkDataSet.Attributes.Any());
}
public MainForm(
INetworkService networkService,
IReader reader,
AbstractNetwork network,
int? networkId = null,
int? parentNeuronId = null,
NetworkDataSet parentNeuronDataSet = null)
{
InitializeComponent();
_reader = reader;
_networkService = networkService;
_converter = new NetworkDataSetConverter();
_interfaceMediator = new InterfaceHelpers();
_neuralNetwork = network;
_neuralNetwork.IterationCompleted += OnNetworkWeightsChanged;
// При редактировании существующей сети скрыть обучение
var isEdit = networkId > 0;
if (isEdit)
{
InitializeExistingNetwork(networkId ?? 0);
}
else
{
_networkBase = new NetworkBase
{
ParentNeuronId = parentNeuronId
};
}
if (parentNeuronId > 0)
{
if (parentNeuronDataSet == null || !(parentNeuronDataSet?.Entities?.Any() ?? false))
{
throw new Exception("Не задан набор обучающих данных для повторной кластеризации.");
}
_learningDataSet = parentNeuronDataSet;
_testingDataSet = parentNeuronDataSet;
btnChooseLearningFile.Enabled = false;
btnChooseTestingFile.Enabled = false;
RecalcMinMaxValues(_learningDataSet);
RecalcMinMaxValues(_testingDataSet);
_neuralNetwork.InputAttributes = _learningDataSet.Attributes
.Select(a => new InputAttributeBase
{
InputAttributeNumber = a.OrderNumber,
Name = a.Name
})
.ToList();
_interfaceMediator.DrawDataIntoGrid(_learningDataSet.Entities, _neuralNetwork.InputAttributes, dgvInputLearningData);
var normalizedData = _learningDataSet.Entities
.Select(l => new NetworkDataEntity()
{
Name = l.Name,
OrderNumber = l.OrderNumber,
AttributeValues = l.AttributeValues.Select(a => new NetworkEntityAttributeValue
{
Attribute = a.Attribute,
Value = a.GetNormalizedValue(_neuralNetwork.NormalizationType)
}).ToList()
})
.ToList();
_interfaceMediator.DrawDataIntoGrid(normalizedData, _neuralNetwork.InputAttributes, dgvNormalizedLearningData);
_interfaceMediator.DrawDataIntoGrid(_testingDataSet.Entities, _neuralNetwork.InputAttributes, dgvTesingData);
}
btnEditCluster.Enabled = isEdit;
SetSaveButtonEnabled();
}
