در ادامه دوره مقدماتی mvc که قبلا در سایت به اشتراک گذاشته شده بود.دوره جدیدی رو مایکروسافت منتشر کرده با عنوان توسعه برنامه‌های MVC که سرفصل‌های آن را در بخش زیر مشاهده می‌کنید:
Mod 01: Introduction to MVC 4 Mod 02: Developing ASP.NET MVC 4 Models Mod 03: Developing MVC 4 Controllers Mod 04: Developing ASP.NET MVC 4 Views Mod 05: Integrating JavaScript and MVC 4 Mod 06: Implementing Web APIs Mod 07: Deploying to Windows Azure Mod 08: Visual Studio 2013/MVC 5 Sneak Peek
using Microsoft.ML.Data;
namespace CreditCardFraudDetection.DataModels
{
public class ModelInput
{
[ColumnName("Time"), LoadColumn(0)]
public float Time { get; set; }
[ColumnName("V1"), LoadColumn(1)]
public float V1 { get; set; }
[ColumnName("V2"), LoadColumn(2)]
public float V2 { get; set; }
[ColumnName("V3"), LoadColumn(3)]
public float V3 { get; set; }
[ColumnName("V4"), LoadColumn(4)]
public float V4 { get; set; }
[ColumnName("V5"), LoadColumn(5)]
public float V5 { get; set; }
[ColumnName("V6"), LoadColumn(6)]
public float V6 { get; set; }
[ColumnName("V7"), LoadColumn(7)]
public float V7 { get; set; }
[ColumnName("V8"), LoadColumn(8)]
public float V8 { get; set; }
[ColumnName("V9"), LoadColumn(9)]
public float V9 { get; set; }
[ColumnName("V10"), LoadColumn(10)]
public float V10 { get; set; }
[ColumnName("V11"), LoadColumn(11)]
public float V11 { get; set; }
[ColumnName("V12"), LoadColumn(12)]
public float V12 { get; set; }
[ColumnName("V13"), LoadColumn(13)]
public float V13 { get; set; }
[ColumnName("V14"), LoadColumn(14)]
public float V14 { get; set; }
[ColumnName("V15"), LoadColumn(15)]
public float V15 { get; set; }
[ColumnName("V16"), LoadColumn(16)]
public float V16 { get; set; }
[ColumnName("V17"), LoadColumn(17)]
public float V17 { get; set; }
[ColumnName("V18"), LoadColumn(18)]
public float V18 { get; set; }
[ColumnName("V19"), LoadColumn(19)]
public float V19 { get; set; }
[ColumnName("V20"), LoadColumn(20)]
public float V20 { get; set; }
[ColumnName("V21"), LoadColumn(21)]
public float V21 { get; set; }
[ColumnName("V22"), LoadColumn(22)]
public float V22 { get; set; }
[ColumnName("V23"), LoadColumn(23)]
public float V23 { get; set; }
[ColumnName("V24"), LoadColumn(24)]
public float V24 { get; set; }
[ColumnName("V25"), LoadColumn(25)]
public float V25 { get; set; }
[ColumnName("V26"), LoadColumn(26)]
public float V26 { get; set; }
[ColumnName("V27"), LoadColumn(27)]
public float V27 { get; set; }
[ColumnName("V28"), LoadColumn(28)]
public float V28 { get; set; }
[ColumnName("Amount"), LoadColumn(29)]
public float Amount { get; set; }
[ColumnName("Class"), LoadColumn(30)]
public bool Class { get; set; }
}
} using Microsoft.ML.Data; namespace CreditCardFraudDetection.DataModels { public class ModelOutput { [ColumnName("PredictedLabel")] public bool Prediction { get; set; } public float Score { get; set; } } }
IDataView trainingDataView = mlContext.Data.LoadFromTextFile<ModelInput>(
path: dataFilePath,
hasHeader: true,
separatorChar: ',',
allowQuoting: true,
allowSparse: false); var dataProcessPipeline = mlContext.Transforms.Concatenate("Features", new[] { "Time", "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "Amount" }); // Choosing algorithm var trainer = mlContext.BinaryClassification.Trainers.LightGbm(labelColumnName: "Class", featureColumnName: "Features"); // Appending algorithm to pipeline var trainingPipeline = dataProcessPipeline.Append(trainer);
ITransformer model = trainingPipeline.Fit(trainingDataView);mlContext.Model.Save(model , trainingDataView.Schema, <path>);
var crossValidationResults = mlContext.BinaryClassification.CrossValidateNonCalibrated(trainingDataView, trainingPipeline, numberOfFolds: 5, labelColumnName: "Class");
var predEngine = mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(mlModel);
ModelInput sampleData = new ModelInput() {
time = 0,
V1 = -1.3598071336738,
...
};
ModelOutput predictionResult = predEngine.Predict(sampleData);
Console.WriteLine($"Actual value: {sampleData.Class} | Predicted value: {predictionResult.Prediction}"); 
private ITransformer SetupMlnetModel(string tensorFlowModelFilePath)
{
var pipeline = _mlContext.<preprocess-data>
.Append(_mlContext.Model.LoadTensorFlowModel(tensorFlowModelFilePath)
.ScoreTensorFlowModel(
outputColumnNames: new[]{TensorFlowModelSettings.outputTensorName },
inputColumnNames: new[] { TensorFlowModelSettings.inputTensorName },
addBatchDimensionInput: false));
ITransformer mlModel = pipeline.Fit(CreateEmptyDataView());
return mlModel;
}
<#@ template debug="true" hostspecific="false" language="C#" #>
<#@ output extension=".txt" #>
<#@ import namespace="System.Diagnostics" #>
Report In : <#= DateTime.Now #>
<#
Process[] Procs = Process.GetProcesses();
for (int i = 0; i < Procs.Length; i++)
{
string Pstr = Procs[i].ProcessName + " -|- " + Procs[i].Id + Environment.NewLine ;
#><#= Pstr #><#
}
#> http://www.olegsych.com/2008/05/t4-architecture/
نکته دیگر این که برای Visual Studio، ابزارهایی جهت بهبود کار با Text Templateها وجود دارند که با جستجوی T4 Editor، نمونه‌هایی از آنها را خواهید یافت. tangible T4 Editor نمونه ای از این Pluginها می‌باشد که به Visual Studio افزوده می‌گردد و یا یک پروژه Open Source هم برای آشنایی بسیار بیشتر با T4 در t4toolbox.codeplex.com وجود دارد که میتوانید مشاهده کنید.
public class CustomViewCache : IViewLocationCache
{
private readonly static string s_key = "_customLookupCach" + Guid.NewGuid().ToString();
private readonly IViewLocationCache _cache;
public CustomViewCache(IViewLocationCache cache)
{
_cache = cache;
}
private static IDictionary<string, string> GetRequestCache(HttpContextBase httpContext)
{
var d = httpContext.Cache[s_key] as IDictionary<string, string>;
if (d == null)
{
d = new Dictionary<string, string>();
httpContext.Cache.Insert(s_key, d, null, Cache.NoAbsoluteExpiration, new TimeSpan(0, 15, 0));
}
return d;
}
public string GetViewLocation(HttpContextBase httpContext, string key)
{
var d = GetRequestCache(httpContext);
string location;
if (!d.TryGetValue(key, out location))
{
location = _cache.GetViewLocation(httpContext, key);
d[key] = location;
}
return location;
}
public void InsertViewLocation(HttpContextBase httpContext, string key, string virtualPath)
{
_cache.InsertViewLocation(httpContext, key, virtualPath);
}
} protected void Application_Start() {
ViewEngines.Engines.Clear();
var ve = new RazorViewEngine();
ve.ViewLocationCache = new CustomViewCache(ve.ViewLocationCache);
ViewEngines.Engines.Add(ve);
...
} 
using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
namespace PWS.UI.Handler
{
/// <summary>
/// Summary description for PhotoHandler
/// </summary>
public class PhotoHandler : IHttpHandler
{
public void ProcessRequest(HttpContext context)
{
context.Response.ContentType = "text/plain";
context.Response.Write("Hello World");
}
public bool IsReusable
{
get
{
return false;
}
}
}
}using System;
using System.Data.SqlClient;
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Drawing2D;
using System.Drawing.Imaging;
using System.Globalization;
using System.IO;
using System.Web;
namespace PWS.UI.Handler
{
/// <summary>
/// Summary description for PhotoHandler
/// </summary>
public class PhotoHandler : IHttpHandler
{
/// <summary>
/// بازیابی تصویر اصلی از بانک اطلاعاتی
/// </summary>
/// <param name="photoId">کد تصویر</param>
/// <returns></returns>
private byte[] GetImageFromDatabase(int photoId)
{
using (var connection = new SqlConnection("ConnectionString"))
{
using (var command = new SqlCommand("Select Photo From tblPhotos Where Id = @PhotoId", connection))
{
command.Parameters.Add(new SqlParameter("@PhotoId", photoId));
connection.Open();
var result = command.ExecuteScalar();
return ((byte[])result);
}
}
}
/// <summary>
/// بازیابی فایل از دیسک
/// </summary>
/// <param name="photoId">با فرض اینکه نام فایل این است</param>
/// <returns></returns>
private byte[] GetImageFromDisk(string photoId /* or somting */)
{
using (var sourceStream = new FileStream("Original File Path + id", FileMode.Open, FileAccess.Read))
{
return StreamToByteArray(sourceStream);
}
}
/// <summary>
/// Streams to byte array.
/// </summary>
/// <param name="inputStream">The input stream.</param>
/// <returns></returns>
/// <exception cref="System.ArgumentException"></exception>
static byte[] StreamToByteArray(Stream inputStream)
{
if (!inputStream.CanRead)
{
throw new ArgumentException();
}
// This is optional
if (inputStream.CanSeek)
{
inputStream.Seek(0, SeekOrigin.Begin);
}
var output = new byte[inputStream.Length];
int bytesRead = inputStream.Read(output, 0, output.Length);
Debug.Assert(bytesRead == output.Length, "Bytes read from stream matches stream length");
return output;
}
/// <summary>
/// Enables processing of HTTP Web requests by a custom HttpHandler that implements the <see cref="T:System.Web.IHttpHandler" /> interface.
/// </summary>
/// <param name="context">An <see cref="T:System.Web.HttpContext" /> object that provides references to the intrinsic server objects (for example, Request, Response, Session, and Server) used to service HTTP requests.</param>
public void ProcessRequest(HttpContext context)
{
// Set up the response settings
context.Response.ContentType = "image/jpeg";
context.Response.Cache.SetCacheability(HttpCacheability.Public);
context.Response.BufferOutput = false;
// مرحله اول
int size = 0;
switch (context.Request.QueryString["Size"])
{
case "S":
size = 100; //100px
break;
case "M":
size = 198; //198px
break;
case "L":
size = 500; //500px
break;
}
byte[] changedImage;
var id = Convert.ToInt32(context.Request.QueryString["PhotoId"]);
byte[] sourceImage = GetImageFromDatabase(id);
// یا
//byte[] sourceImage = GetImageFromDisk(id.ToString(CultureInfo.InvariantCulture));
//مرحله 2
if (size != 0) //غیر از حالت واقعی تصویر
{
changedImage = Helpers.ResizeImageFile(sourceImage, size, ImageFormat.Jpeg);
}
else
{
changedImage = (byte[])sourceImage.Clone();
}
// مرحله 3
if (changedImage == null) return;
context.Response.AddHeader("Content-Length", changedImage.Length.ToString(CultureInfo.InvariantCulture));
context.Response.BinaryWrite(changedImage);
}
public bool IsReusable
{
get
{
return false;
}
}
}
}PhotoHandler.ashx?PhotoId=10&Size=S مانند <img src='PhotoHandler.ashx?PhotoId=10&Size=S' alt='تصویر ازمایشی' />