public class Supplier
{
    [Key]
    public string Key {get; set; }
    public string Name { get; set; }
}
public class Category
{
    public int ID { get; set; }
    public string Name { get; set; }
    public virtual ICollection<Product> Products { get; set; }
}

public class Product
{
    public int ID { get; set; }
    public string Name { get; set; }
    public decimal Price { get; set; }

    [ForeignKey("Category")]
    public int CategoryId { get; set; }
    public Category Category { get; set; }

    [ForeignKey("Supplier")]
    public string SupplierId { get; set; }
    public virtual Supplier Supplier { get; set; }
}

public static void Register(HttpConfiguration config)
        {
            ODataModelBuilder odataModelBuilder = new ODataConventionModelBuilder();

            var product = odataModelBuilder.EntitySet<Product>("Products");
            var category = odataModelBuilder.EntitySet<Category>("Categories");
            var supplier = odataModelBuilder.EntitySet<Supplier>("Suppliers");

            var edmModel = odataModelBuilder.GetEdmModel();

            supplier.EntityType.Ignore(c => c.Name);

            config.Select(System.Web.OData.Query.QueryOptionSetting.Allowed);
            config.MaxTop(25);
            config.OrderBy(System.Web.OData.Query.QueryOptionSetting.Allowed);
            config.Count(System.Web.OData.Query.QueryOptionSetting.Allowed);
            config.Expand(System.Web.OData.Query.QueryOptionSetting.Allowed);
            config.Filter(System.Web.OData.Query.QueryOptionSetting.Allowed);
            config.Count(System.Web.OData.Query.QueryOptionSetting.Allowed);

            //config.MapODataServiceRoute("ODataRoute", "odata", edmModel); // کانفیگ به صورت معمولی
           config.MapODataServiceRoute("ODataRoute", "odata",
                builder =>
                {
                    builder.AddService(ServiceLifetime.Singleton, sp => edmModel);
                    builder.AddService<IEnumerable<IODataRoutingConvention>>(ServiceLifetime.Singleton, sp => ODataRoutingConventions.CreateDefault());
                });
}

[EnableQuery]
        public IQueryable<Product> Get()
        {
            return new List<Product>
            {
                new Product { Id = 1, Name = "name 1", Price = 11, Category = new Category {Id =1, Name = "Cat1" } },
                new Product { Id = 2, Name = "name 2", Price = 12, Category = new Category {Id =2, Name = "Cat2" } },
                new Product { Id = 3, Name = "name 3", Price = 13, Category = new Category {Id =3, Name = "Cat3" } },
                new Product { Id = 4, Name = "name 4", Price = 14, Category = new Category {Id =4, Name = "Cat4" } },
            }.AsQueryable(); ;
        }

/odata/Products?$select=Id,Name

/odata/Products?$top=3&$skip=2

/odata/Products?$count=true

{@odata.context: "http://localhost:4516/odata/$metadata#Products", @odata.count: 4,…}
@odata.context:"http://localhost:4516/odata/$metadata#Products"
@odata.count:4
value:[{Id: 1, Name: "name 1", Price: 11, SupplierId: 0, CategoryId: 0},…]
0:{Id: 1, Name: "name 1", Price: 11, SupplierId: 0, CategoryId: 0}
1:{Id: 2, Name: "name 2", Price: 12, SupplierId: 0, CategoryId: 0}
2:{Id: 3, Name: "name 3", Price: 13, SupplierId: 0, CategoryId: 0}
3:{Id: 4, Name: "name 4", Price: 14, SupplierId: 0, CategoryId: 0}

/odata/Products?$filter=Id eq 1

/odata/Products?$filter=Id gt 1 and Id lt 3

/odata/Products?$orderby=Id desc

[EnableQuery(PageSize = 10)]

[EnableQuery(AllowedLogicalOperators=AllowedLogicalOperators.Equal)]

var product = odataModelBuilder.EntitySet<Product>("Products");
product.EntityType.Ignore(e => e.Price);

[EnableQuery(AllowedOrderByProperties = "Id,Name")]

public System.Web.Http.IHttpActionResult GetName(int key)
        {
            Product product = Get().Single(c => c.Id == key);            
            return Ok(product.Name);
        }

HTTP/1.1 200 OK
Content-Type: text/plain; charset=utf-8
DataServiceVersion: 3.0
Content-Length: 3

Ali

public class Product
    {
        public int Id { get; set; }
        public string Name { get; set; }

        [NotFilterable, NotSortable]
        public decimal Price { get; set; }

        [ForeignKey(nameof(SupplierId))]
        [NotNavigable]
        public virtual Supplier Supplier { get; set; }
        public int SupplierId { get; set; }


        [ForeignKey(nameof(CategoryId))]
        public virtual Category Category { get; set; }
        public int CategoryId { get; set; }

        [NotExpandable]
        public virtual ICollection<TestEntity> TestEnities { get; set; }
    }

public DateTimeOffset CreatedOn { get; set; }

/odata/Products?$filter=year(CreatedOn) eq 2016

/odata/Products?$filter=CreatedOn lt cast(2017-04-01T04:11:31%2B08:00,Edm.DateTimeOffset)

/odata/Categories?$expand=Products($filter=Id gt 1 and Id lt 5)

/odata/Categories?$expand=Products($select=Id,Name)

public class MyEnableQueryAttribute : EnableQueryAttribute
{
    public override IQueryable ApplyQuery(IQueryable queryable, ODataQueryOptions queryOptions)
    {
       // Don't apply Skip and Top.
       var ignoreQueryOptions = AllowedQueryOptions.Skip | AllowedQueryOptions.Top;
       return queryOptions.ApplyTo(queryable, ignoreQueryOptions);
    }
}

 public class CaseInsensitiveResolver : ODataUriResolver
    {
        private bool _enableCaseInsensitive;

        public override bool EnableCaseInsensitive
        {
            get { return true; }
            set { _enableCaseInsensitive = value; }
        }
    }

config.MapODataServiceRoute("ODataRoute", "odata",
                builder =>
                {
                    builder.AddService(ServiceLifetime.Singleton, sp => edmModel);
                    builder.AddService<IEnumerable<IODataRoutingConvention>>(ServiceLifetime.Singleton, sp => ODataRoutingConventions.CreateDefault());
                    builder.AddService<ODataUriResolver>(ServiceLifetime.Singleton, sp => new CaseInsensitiveResolver()); // how enable case sensitive
                });

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;
}