public void Check_URL_Remove_Html_Code()
{
var cacheMock = new Mock <IDataCache>();
var RepoMock = new Mock <IRepository>();
var urlExecutor = new SingleLayer(cacheMock.Object, RepoMock.Object);
urlExecutor.SetUrl("https://tabish.com/first%2FSecond");
urlExecutor.Url.ShouldBe("https://tabish.com/first/second");
}
/// <summary>
/// Returns value of single unit in a single layer for single data row
/// </summary>
/// <param name="idxUptillLayer"></param>
/// <param name="idxUnit"></param>
/// <param name="dataRow"></param>
/// <returns></returns>
public double GetNeuralNetworkOutputSingleDataRowSingleUnit(
int idxUptillLayer,
long idxUnit,
long dataRow)
{
//((SingleLayerInput)(_layers[0])).SetCurrentRow(dataRow);
SingleLayer lastLayer = _layers[idxUptillLayer];
return(lastLayer.GetValue(idxUnit, dataRow));
}
public void Check_URL_Do_Not_Append()
{
var cacheMock = new Mock <IDataCache>();
var RepoMock = new Mock <IRepository>();
var urlExecutor = new SingleLayer(cacheMock.Object, RepoMock.Object);
urlExecutor.SetUrl("https://tabish.com");
urlExecutor.Url.ShouldBe("https://tabish.com");
}
public void Check_URL_Empty_Validation_Fail()
{
var cacheMock = new Mock <IDataCache>();
var RepoMock = new Mock <IRepository>();
var urlExecutor = new SingleLayer(cacheMock.Object, RepoMock.Object);
urlExecutor.SetUrl("");
bool result = urlExecutor.Validate();
result.ShouldBeFalse();
urlExecutor.ErrorMessages.Count.ShouldBe(1);
}
public void AddLayer(int layerIdx, long numberOfUnits, double weightInitValue,
IActivationFunction actFunction, int maxParallelThreads)
{
if (layerIdx > _layers.Length - 1)
{
throw new IndexOutOfRangeException();
}
int upStreamIdx = 0;
if (layerIdx > 0)
{
upStreamIdx = layerIdx - 1;
}
_layers[layerIdx] = new SingleLayer(numberOfUnits, weightInitValue,
_layers[upStreamIdx], actFunction, _maxParallelThreads);
}
public NeuralGenTrainTask()
{
ISingleLayer <double>[] layers = new ISingleLayer <double> [2];
layers[0] = new SingleLayer(6, 6, new Neuro.MLP.ActivateFunction.BipolarTreshhold(), new Random());
layers[1] = new SingleLayer(6, 1, new Neuro.MLP.ActivateFunction.BipolarTreshhold(), new Random());
MultiLayer mLayer = new MultiLayer(layers);
DifferintiableLearningConfig config = new DifferintiableLearningConfig(new Neuro.MLP.ErrorFunction.HalfEuclid());
config.Step = 0.1;
config.OneImageMinError = 0.01;
config.MinError = 0.5;
config.MinChangeError = 0.0000001;
config.UseRandomShuffle = true;
config.MaxEpoch = 10000;
SimpleBackPropogation learn = new SimpleBackPropogation(config);
network = new MultiLayerNeuralNetwork(mLayer, learn);
}
public double[] GetNeuralNetworkOutputForSingleDataRow(int idxUptillLayer,
long dataRow)
{
SingleLayer lastLayer = _layers[idxUptillLayer];
long lastLayerNoOfUnits = lastLayer.GetNumberOfUnits();
double[] outputs = new double[lastLayerNoOfUnits];
//Only run for last layer
for (int uIdx = 0; uIdx < lastLayerNoOfUnits; uIdx++)
{
outputs[uIdx] =
GetNeuralNetworkOutputSingleDataRowSingleUnit(idxUptillLayer,
uIdx, dataRow);
}
return(outputs);
}
public void Generate_Url_From_KeyCode()
{
string url = "https://tabish.com/first/Second";
var cacheMock = new Mock <IDataCache>();
var RepoMock = new Mock <IRepository>();
RepoMock.Setup(x => x.FindKey(It.IsAny <long>())).Returns(new TopLevelModel()
{
Id = 1, Url = url
});
var urlExecutor = new SingleLayer(cacheMock.Object, RepoMock.Object);
urlExecutor.SetUrl(url);
var result = urlExecutor.GetLongUrl("b");
result.ShouldNotBeNullOrEmpty();
result.ShouldBe(url);
}
public void Generate_KeyCode_From_Url()
{
var cacheMock = new Mock <IDataCache>();
var RepoMock = new Mock <IRepository>();
RepoMock.Setup(x => x.Add(It.IsAny <TopLevelModel>())).Returns(new TopLevelModel()
{
Id = 1
});
var urlExecutor = new SingleLayer(cacheMock.Object, RepoMock.Object);
urlExecutor.SetUrl("https://tabish.com/first%2FSecond");
var result = urlExecutor.GetShortUrl();
result.ShouldNotBeNullOrEmpty();
result.ShouldBe("b");
}
