ML.Net

I am having trouble loading Microsoft.ML

assuming I need some kind of #load statement but there is no information 

I am using default c# environment.

(57,17): error CS0234: The type or namespace name 'ML' does not exist in the namespace 'Microsoft' (are you missing an assembly reference?) 

 

#load "../Initialize.csx"
#load "../QuantConnect.csx"

using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Globalization;
using System.Drawing;
using QuantConnect;
using QuantConnect.Algorithm.Framework;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Parameters;
using QuantConnect.Benchmarks;
using QuantConnect.Brokerages;
using QuantConnect.Util;
using QuantConnect.Interfaces;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Data;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Custom;
using QuantConnect.DataSource;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Notifications;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Orders.Slippage;
using QuantConnect.Scheduling;
using QuantConnect.Securities;
using QuantConnect.Securities.Equity;
using QuantConnect.Securities.Future;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Forex;
using QuantConnect.Securities.Crypto;
using QuantConnect.Securities.Interfaces;
using QuantConnect.Storage;
using QuantConnect.Research;
using QuantConnect.Statistics;
using QuantConnect.Data.Custom.AlphaStreams;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;

//Unavailable Libraries

// using MathNet.Filtering;                   
// using MathNet.Filtering.Kalman;             
// using MathNet.Spatial;                     
// using Microsoft.Data.Analysis;             
using Microsoft.ML;                     
// using Microsoft.ML.CpuMath;                 
// using Microsoft.ML.DataView;               
// using Microsoft.ML.Ensemble;                
// using Microsoft.ML.FastTree;                
// using Microsoft.ML.LightGbm;                
// using Microsoft.ML.Mkl.Components;          
// using Microsoft.ML.OnnxRuntime;            
// using Microsoft.ML.TensorFlow;              
// using Microsoft.ML.TimeSeries;