diff --git a/testML.sln b/testML.sln
new file mode 100644
index 0000000..ba74504
--- /dev/null
+++ b/testML.sln
@@ -0,0 +1,25 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.3.32922.545
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "testML", "testML\testML.csproj", "{C3E80D81-F268-427C-B77D-DB08422C978F}"
+EndProject
+Global
+ GlobalSection(SolutionConfigurationPlatforms) = preSolution
+ Debug|Any CPU = Debug|Any CPU
+ Release|Any CPU = Release|Any CPU
+ EndGlobalSection
+ GlobalSection(ProjectConfigurationPlatforms) = postSolution
+ {C3E80D81-F268-427C-B77D-DB08422C978F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+ {C3E80D81-F268-427C-B77D-DB08422C978F}.Debug|Any CPU.Build.0 = Debug|Any CPU
+ {C3E80D81-F268-427C-B77D-DB08422C978F}.Release|Any CPU.ActiveCfg = Release|Any CPU
+ {C3E80D81-F268-427C-B77D-DB08422C978F}.Release|Any CPU.Build.0 = Release|Any CPU
+ EndGlobalSection
+ GlobalSection(SolutionProperties) = preSolution
+ HideSolutionNode = FALSE
+ EndGlobalSection
+ GlobalSection(ExtensibilityGlobals) = postSolution
+ SolutionGuid = {0128A1B5-B749-41FC-A339-B9B621240682}
+ EndGlobalSection
+EndGlobal
diff --git a/testML/App.config b/testML/App.config
new file mode 100644
index 0000000..e77a99d
--- /dev/null
+++ b/testML/App.config
@@ -0,0 +1,14 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/testML/Data.cs b/testML/Data.cs
new file mode 100644
index 0000000..dd02692
--- /dev/null
+++ b/testML/Data.cs
@@ -0,0 +1,36 @@
+using Microsoft.ML.Data;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace testML
+{
+ public class Data
+ {
+ public string Accession { get; set; }
+
+ public float Enum1 { get; set; }
+
+ public float Enum2 { get; set; }
+
+ public float Enum3 { get; set; }
+
+ public float Enum4 { get; set; }
+
+ public float DecimalNumber { get; set; }
+
+ public float IntegerNumber { get; set; }
+
+ public float OrigenResultNumber { get; set; }
+
+ public string StringTest { get; set; }
+ }
+
+ public class DataPrediction
+ {
+ [ColumnName("Score")]
+ public float IntegerNumber { get; set; }
+ }
+}
diff --git a/testML/Program.cs b/testML/Program.cs
new file mode 100644
index 0000000..3a96d18
--- /dev/null
+++ b/testML/Program.cs
@@ -0,0 +1,124 @@
+using Microsoft.ML;
+using Microsoft.ML.Data;
+using Microsoft.ML.Trainers;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection;
+using System.Text;
+using System.Threading.Tasks;
+using System.Xml.Linq;
+
+namespace testML
+{
+ internal class Program
+ {
+ static string[] tags = new string[] { "Rojo", "Amarillo", "Verde claro", "Verde oscuro", "Violeta", "Naranja", "Azul", "Blanco" };
+ static Random rnd = new Random();
+
+ static void Main(string[] args)
+ {
+
+
+
+ var tmpData = new List();
+
+
+ for (var c = 0; c < 300; c++)
+ {
+ var d = CreateRandomData();
+ tmpData.Add(d);
+ }
+
+
+
+ MLContext mlContext = new MLContext();
+
+ var data = mlContext.Data.LoadFromEnumerable(tmpData);
+
+
+ DataOperationsCatalog.TrainTestData dataSplit = mlContext.Data.TrainTestSplit(data, testFraction: 0.2);
+ IDataView trainData = dataSplit.TrainSet;
+ IDataView testData = dataSplit.TestSet;
+
+
+ var trainer = mlContext.Regression.Trainers.Sdca(maximumNumberOfIterations:1000);
+ //var trainer = mlContext.Regression.Trainers.OnlineGradientDescent(numberOfIterations: 100, learningRate: 0.01f );
+
+
+ var pipeline = mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "IntegerNumber")
+ .Append(mlContext.Transforms.Text.NormalizeText("StringTest"))
+ .Append(mlContext.Transforms.Text.FeaturizeText("StringTest"))
+ .Append(mlContext.Transforms.Concatenate("Features", "Enum1", "Enum2", "Enum3", "Enum4", "StringTest"))
+ .Append(mlContext.Transforms.NormalizeMinMax("Features"))
+ .Append(trainer);
+
+
+
+ ITransformer model = pipeline.Fit(trainData);
+
+
+ // Use trained model to make inferences on test data
+ IDataView testDataPredictions = model.Transform(testData);
+
+ // Extract model metrics and get RSquared
+ RegressionMetrics trainedModelMetrics = mlContext.Regression.Evaluate(testDataPredictions);
+ double rSquared = trainedModelMetrics.RSquared;
+
+ Console.WriteLine("ModelMetrics: {0}", rSquared);
+
+
+
+ var predictionFunction = mlContext.Model.CreatePredictionEngine(model);
+
+
+ for (var c = 0; c < 1000; c++)
+ {
+
+ var test = CreateRandomData();
+ var expected = test.IntegerNumber;
+ test.IntegerNumber = 0;
+
+ var p = predictionFunction.Predict(test);
+
+ Console.WriteLine("Found: {0:#,##0.00}\tExpected: {1:#,##0.00}\t\tDiff: {2:#,##0.00}", p.IntegerNumber, expected , expected- p.IntegerNumber);
+ }
+
+ }
+
+ private static Data CreateRandomData()
+ {
+ var d = new Data()
+ {
+ Accession = rnd.Next(0, 99999999).ToString("00000000"),
+ Enum1 = rnd.Next(1, 4),
+ Enum2 = rnd.Next(1, 11),
+ Enum3 = rnd.Next(1, 6),
+ Enum4 = rnd.Next(1, 6),
+ StringTest = tags[rnd.Next(0, tags.Length)]
+ };
+
+ // Ponemos algunos datos que tengan alguna relación (la red neuronal debería calibrarse para comprender esta formula)
+ d.IntegerNumber = (((d.Enum1 + d.Enum2) - (d.Enum3 + d.Enum4)) * 5.25f) + d.StringTest.Length;
+
+ d.DecimalNumber = (d.Enum2 / d.Enum1) * (2.0f + (1.0f / d.StringTest.Length));
+
+ if (d.StringTest == "Azul")
+ {
+ d.IntegerNumber += 10;
+ d.OrigenResultNumber = 1;
+ }
+
+ if (d.StringTest == "Rojo")
+ {
+ d.IntegerNumber += 5f;
+ d.OrigenResultNumber = 1;
+ }
+
+ return d;
+
+ }
+ }
+
+
+}
diff --git a/testML/Properties/AssemblyInfo.cs b/testML/Properties/AssemblyInfo.cs
new file mode 100644
index 0000000..b6d3991
--- /dev/null
+++ b/testML/Properties/AssemblyInfo.cs
@@ -0,0 +1,36 @@
+using System.Reflection;
+using System.Runtime.CompilerServices;
+using System.Runtime.InteropServices;
+
+// La información general de un ensamblado se controla mediante el siguiente
+// conjunto de atributos. Cambie estos valores de atributo para modificar la información
+// asociada a un ensamblado.
+[assembly: AssemblyTitle("testML")]
+[assembly: AssemblyDescription("")]
+[assembly: AssemblyConfiguration("")]
+[assembly: AssemblyCompany("")]
+[assembly: AssemblyProduct("testML")]
+[assembly: AssemblyCopyright("Copyright © 2022")]
+[assembly: AssemblyTrademark("")]
+[assembly: AssemblyCulture("")]
+
+// Si establece ComVisible en false, los tipos de este ensamblado no estarán visibles
+// para los componentes COM. Si es necesario obtener acceso a un tipo en este ensamblado desde
+// COM, establezca el atributo ComVisible en true en este tipo.
+[assembly: ComVisible(false)]
+
+// El siguiente GUID sirve como id. de typelib si este proyecto se expone a COM.
+[assembly: Guid("c3e80d81-f268-427c-b77d-db08422c978f")]
+
+// La información de versión de un ensamblado consta de los cuatro valores siguientes:
+//
+// Versión principal
+// Versión secundaria
+// Número de compilación
+// Revisión
+//
+// Puede especificar todos los valores o usar los valores predeterminados de número de compilación y de revisión
+// utilizando el carácter "*", como se muestra a continuación:
+// [assembly: AssemblyVersion("1.0.*")]
+[assembly: AssemblyVersion("1.0.0.0")]
+[assembly: AssemblyFileVersion("1.0.0.0")]
diff --git a/testML/packages.config b/testML/packages.config
new file mode 100644
index 0000000..1116d1d
--- /dev/null
+++ b/testML/packages.config
@@ -0,0 +1,16 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/testML/testML.csproj b/testML/testML.csproj
new file mode 100644
index 0000000..b5a7157
--- /dev/null
+++ b/testML/testML.csproj
@@ -0,0 +1,126 @@
+
+
+
+
+
+
+ Debug
+ AnyCPU
+ {C3E80D81-F268-427C-B77D-DB08422C978F}
+ Exe
+ testML
+ testML
+ v4.8
+ 512
+ true
+
+
+
+
+
+ x64
+ true
+ full
+ false
+ bin\Debug\
+ DEBUG;TRACE
+ prompt
+ 4
+
+
+ AnyCPU
+ pdbonly
+ true
+ bin\Release\
+ TRACE
+ prompt
+ 4
+
+
+ testML.Program
+
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.Core.dll
+
+
+ ..\packages\Microsoft.ML.CpuMath.2.0.0\lib\netstandard2.0\Microsoft.ML.CpuMath.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.Data.dll
+
+
+ ..\packages\Microsoft.ML.DataView.2.0.0\lib\netstandard2.0\Microsoft.ML.DataView.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.KMeansClustering.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.PCA.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.StandardTrainers.dll
+
+
+ ..\packages\Microsoft.ML.2.0.0\lib\netstandard2.0\Microsoft.ML.Transforms.dll
+
+
+ ..\packages\Newtonsoft.Json.13.0.1\lib\net45\Newtonsoft.Json.dll
+
+
+
+ ..\packages\System.Buffers.4.4.0\lib\netstandard2.0\System.Buffers.dll
+
+
+ ..\packages\System.CodeDom.4.5.0\lib\net461\System.CodeDom.dll
+
+
+ ..\packages\System.Collections.Immutable.1.5.0\lib\netstandard2.0\System.Collections.Immutable.dll
+
+
+
+ ..\packages\System.Memory.4.5.3\lib\netstandard2.0\System.Memory.dll
+
+
+
+ ..\packages\System.Numerics.Vectors.4.4.0\lib\net46\System.Numerics.Vectors.dll
+
+
+ ..\packages\System.Runtime.CompilerServices.Unsafe.4.5.3\lib\net461\System.Runtime.CompilerServices.Unsafe.dll
+
+
+ ..\packages\System.Threading.Channels.4.7.1\lib\net461\System.Threading.Channels.dll
+
+
+ ..\packages\System.Threading.Tasks.Extensions.4.5.4\lib\net461\System.Threading.Tasks.Extensions.dll
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Este proyecto hace referencia a los paquetes NuGet que faltan en este equipo. Use la restauración de paquetes NuGet para descargarlos. Para obtener más información, consulte http://go.microsoft.com/fwlink/?LinkID=322105. El archivo que falta es {0}.
+
+
+
+
+
+
+
\ No newline at end of file