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Añadido un simulador de cruces basado en el entrenamiento previamente hecho

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This commit is contained in:
Miguel Á M.S.
2023-01-19 17:32:36 +01:00
parent 8b128ceb46
commit 72978b216c
6 changed files with 439 additions and 9 deletions
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4
testML/App.config
View File

@@ -37,6 +37,10 @@
<assemblyIdentity name="TorchSharp" publicKeyToken="67b0e5e1da516a1c" culture="neutral" />
<bindingRedirect oldVersion="0.0.0.0-0.99.0.0" newVersion="0.99.0.0" />
</dependentAssembly>
<dependentAssembly>
<assemblyIdentity name="System.Data.SQLite" publicKeyToken="db937bc2d44ff139" culture="neutral" />
<bindingRedirect oldVersion="0.0.0.0-1.0.117.0" newVersion="1.0.117.0" />
</dependentAssembly>
</assemblyBinding>
</runtime>
</configuration>

6
testML/DictionaryToObjectConverter.cs
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@@ -20,7 +20,7 @@ namespace testML
public static IEnumerable<object> Convert(List<Dictionary<string, object>> data, string toPredict, string objectFilename, out Type classType, out Type classPredictionType, out DataViewSchema schema)
{
var regexCR = new Regex(@"_CR\d+");
var currentCR = regexCR.Match(toPredict).Groups[0].Value;
var currentCR = regexCR.Match(toPredict ?? string.Empty).Groups[0].Value;
var schemaBuilder = new DataViewSchema.Builder();
@@ -31,7 +31,7 @@ namespace testML
{
foreach (var key in sample.Keys)
{
if (!key.Contains(currentCR))
if (currentCR != null && !key.Contains(currentCR))
{
continue;
}
@@ -79,7 +79,7 @@ namespace testML
var converter = new DictionaryToObjectConverterClass()
{
ClassName = className,
ToPredict = toPredict,
ToPredict = toPredict ?? "Empty",
Definition = definition
};

13
testML/Program.cs
View File

@@ -31,7 +31,7 @@ namespace testML
{
XSSFWorkbook wb;
//using (FileStream file = new FileStream(@"C:\Users\miguel.maldonado\Downloads\entrenar_IAMenos.xlsx", FileMode.Open, FileAccess.Read))
using (FileStream file = new FileStream(@"entrenar_IA (1).xlsx", FileMode.Open, FileAccess.Read))
using (FileStream file = new FileStream(@"C:\Users\miki_\Downloads\entrenar_IA_2.xlsx", FileMode.Open, FileAccess.Read))
{
wb = new XSSFWorkbook(file);
}
@@ -49,7 +49,7 @@ namespace testML
for (var r = headerRow.RowNum + 1; r < sheet.LastRowNum - 1; r++)
{
//if (r == 50) break;
//if (r == 100) break;
Console.WriteLine(string.Format("{0} / {1}", r, sheet.LastRowNum - 1));
var row = sheet.GetRow(r);
@@ -63,6 +63,9 @@ namespace testML
var columnName = headerRow.GetCell(c)?.StringCellValue;
var crCell = CRRow.GetCell(c)?.NumericCellValue;
if (CRRow.GetCell(c)?.CellType == NPOI.SS.UserModel.CellType.Blank) { crCell = null; }
columnName = FixColumnName(columnName);
object value = null;
@@ -133,7 +136,9 @@ namespace testML
}
}
foreach (var key in firstRow.Keys)
S4i_Simulador.S4i_SimularCruces.Run(tmpData);
/*foreach (var key in firstRow.Keys)
{
if (key.StartsWith("DESCENDIENTE_S4i") ||
key.StartsWith("DESCENDIENTE_SNP"))
@@ -165,7 +170,7 @@ namespace testML
}
}
}
}*/
Console.WriteLine();
Console.WriteLine("Press enter to Exit");

404
testML/S4i_SimularCruces.cs Normal file
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@@ -0,0 +1,404 @@
using FFSoft.SQLiteUtilities;
using Microsoft.CodeAnalysis.CSharp.Syntax;
using Microsoft.CodeAnalysis.Operations;
using Microsoft.ML;
using NPOI.SS.Formula.Functions;
using System;
using System.Collections.Generic;
using System.Collections.Specialized;
using System.IO;
using System.Linq;
using System.Net;
using System.Reflection;
using System.Reflection.PortableExecutable;
using System.Text;
using System.Text.RegularExpressions;
using System.Threading.Tasks;
using Tensorboard;
namespace testML.S4i_Simulador
{
internal class S4i_SimularCruces
{
static Regex removeCr = new Regex(@"(.+)_CR\d+$", RegexOptions.IgnoreCase | RegexOptions.Compiled);
static Regex columnByModelName = new Regex(@"DESCENDIENTE_(.+_CR\d+)\.", RegexOptions.IgnoreCase | RegexOptions.Compiled);
static List<Dictionary<string, object>> sourceData;
static Dictionary<string, string> allColumns;
static Dictionary<string, ModelosIA> modelosIA;
static MLContext mlContext;
public static void Run(List<Dictionary<string, object>> sourceData)
{
mlContext = new MLContext();
modelosIA = LoadModels();
S4i_SimularCruces.sourceData = sourceData;
var all = (from x in ObtenerIndividuos() select x).ToList();
{
allColumns = new Dictionary<string, string>();
// Buscamos el nombre de todos los atributos
foreach (var row in all)
{
foreach (var col in row.Values.Keys)
{
if (!allColumns.ContainsKey(col))
{
var m = removeCr.Match(col);
if (!m.Success) { continue; }
allColumns.Add(col, m.Groups[1].Value);
}
}
}
}
// Añadimos todos los atributos que falten
foreach (var row in all)
{
foreach (var col in allColumns.Keys)
{
if (!row.Values.ContainsKey(col))
{
row.Values.Add(col, null);
}
}
}
//foreach(var column in modelosIA.Keys)
//{
// if(allColumns.ContainsKey(column))
// {
// allColumns.Remove(column);
// }
//}
var allCodes = (from x in all select x.Code).Distinct().ToList();
var individuos = (from x in allCodes select all.FirstOrDefault(y => y.Code == x)).ToArray();
all = null;
var outputDB = "Crosses.sqlite";
if (!File.Exists(outputDB))
{
SQLiteConnector.CreateDatabase(outputDB);
}
using (var db = new SQLiteConnector(outputDB))
{
db.Execute("PRAGMA journal_mode=wal");
db.Execute("PRAGMA wal_autocheckpoint=1000;");
db.Execute("VACUUM");
#region Crear tabla de los individuos
db.Execute("DROP TABLE IF EXISTS Individuo;");
var sql = new StringBuilder();
sql.AppendLine(@"CREATE TABLE Individuo (Code TEXT PRIMARY KEY UNIQUE NOT NULL");
foreach (var col in allColumns.Values)
{
sql.Append(", ");
sql.Append(col);
sql.Append(" TEXT");
}
sql.AppendLine(");");
db.Execute(sql.ToString());
db.BeginTransaction();
foreach (var i in individuos)
{
db.Execute("INSERT INTO Individuo(Code) VALUES({0})", i.Code);
var cmd = db.GetCommand();
sql.Clear();
sql.Append("UPDATE Individuo SET ");
var addComa = false;
foreach (var col in allColumns.Keys)
{
var name = allColumns[col];
if (addComa)
{
sql.Append(", ");
}
else
{
addComa = true;
}
sql.Append(name);
sql.Append(" = ");
var param = "@p" + name;
sql.Append(param);
var v = i.Values[col];
if (string.IsNullOrEmpty(v as string)) { v = null; }
cmd[param] = v?.ToString().Substring(name.Length + 1);
}
sql.Append(" WHERE Code = @pCode");
cmd["@pCode"] = i.Code;
cmd.SQL = sql.ToString();
db.Execute(cmd);
}
db.EndTransaction(true);
#endregion
#region Creamos la tabla de la simulación
db.Execute("DROP TABLE IF EXISTS Cruce;");
sql.Clear();
sql.AppendLine(@"CREATE TABLE Cruce (Id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, Female TEXT NOT NULL, Male TEXT NOT NULL");
foreach (var col in allColumns.Values)
{
sql.Append(", ");
sql.Append(col);
sql.Append(" TEXT");
}
sql.AppendLine(");");
db.Execute(sql.ToString());
// Le hacemos un índice
db.Execute(@"CREATE UNIQUE INDEX IX_Cruce_FemaleMale ON Cruce (
Female COLLATE BINARY ASC,
Male COLLATE BINARY ASC
);");
#endregion
db.BeginTransaction();
//ELiminamos columnas
foreach (var col in allColumns.Keys)
{
if (!modelosIA.ContainsKey(col))
{
db.Execute("ALTER TABLE Cruce DROP COLUMN " + allColumns[col] + ";");
}
}
db.EndTransaction(true);
var limit = individuos.Length * individuos.Length;
var current = 0;
foreach (var asFemale in individuos)
{
FillModel("FEMENINO_", asFemale);
foreach (var asMale in individuos)
{
current++;
if (asFemale.Code == asMale.Code) { continue; } // Ignoramos las autofecundaciones
// Si existe el curce en un sentido o en el otro lo ignoramos
if (db.Exists("SELECT * FROM Cruce WHERE (Female = {0} AND Male = {1}) OR (Female = {1} AND Male = {0})", asFemale.Code, asMale.Code))
{
continue;
}
FillModel("MASCULINO_", asMale);
Console.WriteLine("{2}/{3} {4}%: Simulating {0} x {1}",
asFemale.Code,
asMale.Code,
current.ToString("#,##0"),
limit.ToString("#,##0"),
((current / (double)limit) * 100.0).ToString("#,##0.00"));
SimulateCross(db, asFemale, asMale);
}
}
}
}
private static void SimulateCross(SQLiteConnector db, Individuo asFemale, Individuo asMale)
{
var cmd = db.GetCommand();
var sql = new StringBuilder();
sql.Append("INSERT INTO Cruce(Female, Male");
foreach (var model in modelosIA.Values)
{
sql.Append(", " + allColumns[model.Name]);
}
sql.Append(") VALUES(@pFemale, @pMale");
cmd["@pFemale"] = asFemale.Code;
cmd["@pMale"] = asMale.Code;
foreach (var model in modelosIA.Values)
{
sql.Append(", @p" + allColumns[model.Name]);
}
sql.Append(");");
var tasks = new Task[modelosIA.Values.Count];
var c = 0;
foreach (var model in modelosIA.Values)
{
tasks[c] = MakePrediction(model);
c++;
}
Task.WaitAll(tasks);
foreach (var model in modelosIA.Values)
{
var colDB = allColumns[model.Name];
var value = model.Prediction.GetValue("DESCENDIENTE_" + model.Name) as string;
if (value != null && value.StartsWith(colDB))
{
value = value.Substring(colDB.Length + 1);
}
cmd["@p" + colDB] = value;
}
cmd.SQL = sql.ToString();
db.Execute(cmd);
}
private static Task MakePrediction(ModelosIA model)
{
return Task.Run(() =>
{
model.Prediction = (IDictionaryToObjectConverter)model.PredictionEngineMethod.Invoke(model.PredictionEngine, model.PredictionEngineMethodParameter);
});
}
private static void FillModel(string prefix, Individuo individuo)
{
foreach (var model in modelosIA.Values)
{
foreach (var col in allColumns.Keys)
{
model.Data.SetValue(prefix + col, individuo.Values[col]);
}
}
}
private static Dictionary<string, ModelosIA> LoadModels()
{
var count = 0;
var result = new Dictionary<string, ModelosIA>();
var tasks = new List<Task>();
foreach (var filename in Directory.GetFiles("Modelos", "*.zip"))
{
count++;
tasks.Add(LoadModels(result, filename));
}
Task.WaitAll(tasks.ToArray());
return result;
}
private static Task LoadModels(Dictionary<string, ModelosIA> result, string filename)
{
return Task.Run(() =>
{
//if (count >= 5) break;
var name = Path.GetFileNameWithoutExtension(filename);
var matchName = columnByModelName.Match(name);
Console.WriteLine("Loading model for: " + matchName.Groups[1].Value);
var model = new ModelosIA();
model.Name = matchName.Groups[1].Value;
model.Model = mlContext.Model.Load(filename, out DataViewSchema schema);
model.Schema = schema;
var dll = Path.Combine(Path.GetDirectoryName(filename), name + ".dll");
if (File.Exists(dll))
{
var a = Assembly.LoadFrom(dll);
var obj = "OBJ" + name.Replace(".", "_");
var dataType = a.GetType("DictionaryToObjectConverterNamespace." + obj);
var predictionType = a.GetType("DictionaryToObjectConverterNamespace." + obj + "Prediction");
model.Data = (IDictionaryToObjectConverter)Activator.CreateInstance(dataType);
var createPredictionEngineMethod = mlContext.Model.GetType().GetMethods().Where(x => x.Name == "CreatePredictionEngine" && x.IsGenericMethodDefinition).FirstOrDefault();
var createPredictionEngineMethodObj = createPredictionEngineMethod.MakeGenericMethod(dataType, predictionType);
model.PredictionEngine = createPredictionEngineMethodObj.Invoke(mlContext.Model, new object[] { model.Model, null, null, null });
//Test
model.PredictionEngineMethod = model.PredictionEngine.GetType().GetMethods().Where(x => x.Name == "Predict" && x.GetParameters().Length == 1 && x.GetParameters()[0].ParameterType == dataType).FirstOrDefault();
model.PredictionEngineMethodParameter = new object[] { model.Data };
}
lock (result)
{
result.Add(model.Name, model);
}
Console.WriteLine("Model for: " + matchName.Groups[1].Value + " loaded!");
});
}
private static IEnumerable<Individuo> ObtenerIndividuos()
{
foreach (var item in sourceData)
{
yield return ObtenerIndividuo(item, "PMASCULINO", "MASCULINO_");
yield return ObtenerIndividuo(item, "PFEMENINO", "FEMENINO_");
yield return ObtenerIndividuo(item, "DESCENDIENTE", "DESCENDIENTE_");
}
}
private static Individuo ObtenerIndividuo(Dictionary<string, object> item, string name, string dataPrefix)
{
var result = new Individuo()
{
Code = item[name].ToString().Trim(),
Values = new Dictionary<string, object>()
};
foreach (var key in item.Keys)
{
if (key.StartsWith(dataPrefix))
{
result.Values.Add(key.Substring(dataPrefix.Length), item[key]);
}
}
return result;
}
}
public class Individuo
{
public string Code { get; set; }
public Dictionary<string, object> Values { get; set; }
}
public class ModelosIA
{
public string Name { get; set; }
public ITransformer Model { get; set; }
public DataViewSchema Schema { get; set; }
public IDictionaryToObjectConverter Data { get; set; }
public IDictionaryToObjectConverter Prediction { get; set; }
public object PredictionEngine { get; set; }
public MethodInfo PredictionEngineMethod { get; set; }
public object[] PredictionEngineMethodParameter { get; set; }
}
}

4
testML/packages.config
View File

@@ -33,14 +33,16 @@
<package id="NPOI.Excel" version="2.1.1" targetFramework="net48" />
<package id="NumSharp.Lite" version="0.1.8" targetFramework="net48" />
<package id="Protobuf.Text" version="0.4.0" targetFramework="net48" />
<package id="SharpZipLib" version="0.86.0" targetFramework="net48" />
<package id="SharpZipLib" version="1.4.0" targetFramework="net48" />
<package id="SkiaSharp" version="2.88.3" targetFramework="net48" />
<package id="SkiaSharp.NativeAssets.Linux.NoDependencies" version="2.88.3" targetFramework="net48" />
<package id="SkiaSharp.NativeAssets.macOS" version="2.88.3" targetFramework="net48" />
<package id="SkiaSharp.NativeAssets.Win32" version="2.88.3" targetFramework="net48" />
<package id="Stub.System.Data.SQLite.Core.NetFramework" version="1.0.117.0" targetFramework="net48" />
<package id="System.Buffers" version="4.5.1" targetFramework="net48" />
<package id="System.CodeDom" version="4.5.0" targetFramework="net48" />
<package id="System.Collections.Immutable" version="5.0.0" targetFramework="net48" />
<package id="System.Data.SQLite.Core" version="1.0.117.0" targetFramework="net48" />
<package id="System.IO.FileSystem.AccessControl" version="4.5.0" targetFramework="net48" />
<package id="System.Memory" version="4.5.4" targetFramework="net48" />
<package id="System.Numerics.Vectors" version="4.5.0" targetFramework="net48" />

15
testML/testML.csproj
View File

@@ -49,7 +49,16 @@
<PropertyGroup>
<StartupObject>testML.Program</StartupObject>
</PropertyGroup>
<PropertyGroup>
<ContentSQLiteInteropFiles>true</ContentSQLiteInteropFiles>
<CopySQLiteInteropFiles>false</CopySQLiteInteropFiles>
<CleanSQLiteInteropFiles>false</CleanSQLiteInteropFiles>
<CollectSQLiteInteropFiles>false</CollectSQLiteInteropFiles>
</PropertyGroup>
<ItemGroup>
<Reference Include="FFSoft.SQLiteUtilities">
<HintPath>..\..\..\..\..\..\Desarrollo\SQLiteUtilities\SQLiteUtilities\bin\Debug\FFSoft.SQLiteUtilities.dll</HintPath>
</Reference>
<Reference Include="Google.Protobuf, Version=3.21.9.0, Culture=neutral, PublicKeyToken=a7d26565bac4d604, processorArchitecture=MSIL">
<HintPath>..\packages\Google.Protobuf.3.21.9\lib\net45\Google.Protobuf.dll</HintPath>
</Reference>
@@ -187,6 +196,9 @@
<HintPath>..\packages\System.Collections.Immutable.5.0.0\lib\net461\System.Collections.Immutable.dll</HintPath>
</Reference>
<Reference Include="System.Core" />
<Reference Include="System.Data.SQLite, Version=1.0.117.0, Culture=neutral, PublicKeyToken=db937bc2d44ff139, processorArchitecture=MSIL">
<HintPath>..\packages\Stub.System.Data.SQLite.Core.NetFramework.1.0.117.0\lib\net46\System.Data.SQLite.dll</HintPath>
</Reference>
<Reference Include="System.IO.FileSystem.AccessControl, Version=4.0.3.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
<HintPath>..\packages\System.IO.FileSystem.AccessControl.4.5.0\lib\net461\System.IO.FileSystem.AccessControl.dll</HintPath>
</Reference>
@@ -250,6 +262,7 @@
<DesignTime>True</DesignTime>
<DependentUpon>DictionaryToObjectConverterClass.tt</DependentUpon>
</Compile>
<Compile Include="S4i_SimularCruces.cs" />
</ItemGroup>
<ItemGroup>
<None Include="App.config" />
@@ -293,6 +306,7 @@
<Error Condition="!Exists('..\packages\Microsoft.ML.DnnImageFeaturizer.ResNet50.0.20.0\build\netstandard2.0\Microsoft.ML.DnnImageFeaturizer.ResNet50.props')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\Microsoft.ML.DnnImageFeaturizer.ResNet50.0.20.0\build\netstandard2.0\Microsoft.ML.DnnImageFeaturizer.ResNet50.props'))" />
<Error Condition="!Exists('..\packages\Microsoft.ML.Recommender.0.20.0\build\netstandard2.0\Microsoft.ML.Recommender.props')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\Microsoft.ML.Recommender.0.20.0\build\netstandard2.0\Microsoft.ML.Recommender.props'))" />
<Error Condition="!Exists('..\packages\System.Text.Json.6.0.1\build\System.Text.Json.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\System.Text.Json.6.0.1\build\System.Text.Json.targets'))" />
<Error Condition="!Exists('..\packages\Stub.System.Data.SQLite.Core.NetFramework.1.0.117.0\build\net46\Stub.System.Data.SQLite.Core.NetFramework.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\Stub.System.Data.SQLite.Core.NetFramework.1.0.117.0\build\net46\Stub.System.Data.SQLite.Core.NetFramework.targets'))" />
</Target>
<Import Project="..\packages\Microsoft.ML.2.0.0\build\netstandard2.0\Microsoft.ML.targets" Condition="Exists('..\packages\Microsoft.ML.2.0.0\build\netstandard2.0\Microsoft.ML.targets')" />
<Import Project="..\packages\LightGBM.2.3.1\build\LightGBM.targets" Condition="Exists('..\packages\LightGBM.2.3.1\build\LightGBM.targets')" />
@@ -302,4 +316,5 @@
<Import Project="..\packages\Microsoft.ML.OnnxRuntime.Managed.1.10.0\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets" Condition="Exists('..\packages\Microsoft.ML.OnnxRuntime.Managed.1.10.0\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets')" />
<Import Project="..\packages\SkiaSharp.NativeAssets.Linux.NoDependencies.2.88.3\build\net462\SkiaSharp.NativeAssets.Linux.NoDependencies.targets" Condition="Exists('..\packages\SkiaSharp.NativeAssets.Linux.NoDependencies.2.88.3\build\net462\SkiaSharp.NativeAssets.Linux.NoDependencies.targets')" />
<Import Project="..\packages\System.Text.Json.6.0.1\build\System.Text.Json.targets" Condition="Exists('..\packages\System.Text.Json.6.0.1\build\System.Text.Json.targets')" />
<Import Project="..\packages\Stub.System.Data.SQLite.Core.NetFramework.1.0.117.0\build\net46\Stub.System.Data.SQLite.Core.NetFramework.targets" Condition="Exists('..\packages\Stub.System.Data.SQLite.Core.NetFramework.1.0.117.0\build\net46\Stub.System.Data.SQLite.Core.NetFramework.targets')" />
</Project>