using System;
using Microsoft.ML;
using Microsoft.ML.Data;
 
namespace Samples.Dynamic
{
    public static class ConvertType
    {
        public static void Example()
        {
            var mlContext = new MLContext(seed: 1);
            var rawData = new[] {
                new InputData() { Survived = true },
                new InputData() { Survived = false },
                new InputData() { Survived = true },
                new InputData() { Survived = false },
                new InputData() { Survived = false },
            };
 
            var data = mlContext.Data.LoadFromEnumerable(rawData);
 
            // Construct the pipeline.
            var pipeline = mlContext.Transforms.Conversion.ConvertType(
                "SurvivedInt32", "Survived", DataKind.Int32);
 
            // Let's train our pipeline, and then apply it to the same data.
            var transformer = pipeline.Fit(data);
            var transformedData = transformer.Transform(data);
 
            // Display original column 'Survived' (boolean) and converted column 
            // SurvivedInt32' (Int32)
            var convertedData = mlContext.Data.CreateEnumerable<TransformedData>(
                transformedData, true);
 
            foreach (var item in convertedData)
            {
                Console.WriteLine("A:{0,-10}  Aconv:{1}", item.Survived,
                    item.SurvivedInt32);
            }
 
            // Output
            // A: True     Aconv:1
            // A: False    Aconv:0
            // A: True     Aconv:1
            // A: False    Aconv:0
            // A: False    Aconv:0
        }
 
        private class InputData
        {
            public bool Survived;
        }
 
        private sealed class TransformedData : InputData
        {
            public Int32 SurvivedInt32 { get; set; }
        }
    }
}