PR review comments + the following changes:

Microsoft.ML.Calibrators namespace for calibrators
Microsoft.ML.Data.Evaluators.Metrics -> Microsoft.ML.Data
Microsoft.ML.FastTree --> Microsoft.ML.Trainers.FastTree
ICanSaveModel, ModelSaveContext move from Microsoft.ML.Model to Microsoft.Ml

Author: sfilipi

src/Microsoft.ML.Core/Data/ModelLoadContext.cs

@@ -6,8 +6,9 @@
 using System.IO;
 using System.Text;
 using Microsoft.ML.Internal.Utilities;
+using Microsoft.ML.Model;
 
-namespace Microsoft.ML.Model
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is a convenience context object for loading models from a repository, for

src/Microsoft.ML.Core/Data/ModelLoading.cs

@@ -7,8 +7,9 @@
 using System.Reflection;
 using System.Text;
 using Microsoft.ML.Internal.Utilities;
+using Microsoft.ML.Model;
 
-namespace Microsoft.ML.Model
+namespace Microsoft.ML
 {
     /// <summary>
     /// Signature for a repository based model loader. This is the dual of <see cref="ICanSaveModel"/>.

src/Microsoft.ML.Core/Data/ModelSaveContext.cs

@@ -6,8 +6,9 @@
 using System.IO;
 using System.Text;
 using Microsoft.ML.Internal.Utilities;
+using Microsoft.ML.Model;
 
-namespace Microsoft.ML.Model
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is a convenience context object for saving models to a repository, for

src/Microsoft.ML.Core/Data/ModelSaving.cs

@@ -5,8 +5,9 @@
 using System;
 using System.IO;
 using System.Text;
+using Microsoft.ML.Model;
 
-namespace Microsoft.ML.Model
+namespace Microsoft.ML
 {
     public sealed partial class ModelSaveContext : IDisposable
     {

src/Microsoft.ML.Core/Data/Repository.cs

@@ -8,7 +8,7 @@
 using System.IO.Compression;
 using Microsoft.ML.Internal.Utilities;
 
-namespace Microsoft.ML.Model
+namespace Microsoft.ML
 {
     /// <summary>
     /// For saving a model into a repository.

src/Microsoft.ML.Data/Commands/CrossValidationCommand.cs

@@ -9,7 +9,7 @@
 using System.Threading.Tasks;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Command;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;

src/Microsoft.ML.Data/Commands/TrainCommand.cs

@@ -8,7 +8,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Command;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;

src/Microsoft.ML.Data/Commands/TrainTestCommand.cs

@@ -6,7 +6,7 @@
 using System.IO;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Command;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;

src/Microsoft.ML.Data/Dirty/IniFileUtils.cs

@@ -4,7 +4,7 @@
 
 using System.Text;
 using System.Text.RegularExpressions;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 
 namespace Microsoft.ML.Internal.Utilities
 {

src/Microsoft.ML.Data/Dirty/PredictorInterfaces.cs

@@ -6,7 +6,7 @@
 using System.Collections.Generic;
 using System.IO;
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 
 namespace Microsoft.ML.Internal.Internallearn

src/Microsoft.ML.Data/EntryPoints/InputBase.cs

@@ -5,7 +5,7 @@
 using System;
 using System.Collections.Generic;
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Data.IO;

src/Microsoft.ML.Data/EntryPoints/PredictorModelImpl.cs

@@ -7,7 +7,7 @@
 using System.IO;
 using System.Linq;
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Model;

src/Microsoft.ML.Data/EntryPoints/SummarizePredictor.cs

@@ -5,7 +5,7 @@
 using System.IO;
 using System.Text;
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;

src/Microsoft.ML.Data/Evaluators/AnomalyDetectionEvaluator.cs

@@ -10,7 +10,6 @@
 using Microsoft.ML;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
-using Microsoft.ML.Data.Evaluators.Metrics;
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Transforms;

src/Microsoft.ML.Data/Evaluators/Metrics/AnomalyDetectionMetrics.cs

@@ -5,7 +5,7 @@
 using System;
 using Microsoft.Data.DataView;
 
-namespace Microsoft.ML.Data.Evaluators.Metrics
+namespace Microsoft.ML.Data
 {
     /// <summary>
     /// Evaluation results for anomaly detection.

src/Microsoft.ML.Data/Model/Onnx/ICanSaveOnnx.cs

@@ -2,7 +2,7 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 
 namespace Microsoft.ML.Model.OnnxConverter

src/Microsoft.ML.Data/Model/Pfa/ICanSavePfa.cs

@@ -2,7 +2,7 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Newtonsoft.Json.Linq;
 

src/Microsoft.ML.Data/Prediction/Calibrator.cs

@@ -10,7 +10,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;
@@ -79,7 +79,7 @@
 [assembly: EntryPointModule(typeof(PavCalibratorTrainerFactory))]
 [assembly: EntryPointModule(typeof(PlattCalibratorTrainerFactory))]
 
-namespace Microsoft.ML.Calibrator
+namespace Microsoft.ML.Calibrators
 {
     /// <summary>
     /// Signature for the loaders of calibrators.

src/Microsoft.ML.Data/Prediction/CalibratorCatalog.cs

@@ -6,7 +6,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.Model;
 using Microsoft.ML.Trainers;
@@ -20,7 +20,7 @@
 [assembly: LoadableClass(typeof(CalibratorTransformer<PavCalibrator>), typeof(PavCalibratorTransformer), null,
     typeof(SignatureLoadModel), "", PavCalibratorTransformer.LoadName)]
 
-namespace Microsoft.ML.Calibrator
+namespace Microsoft.ML.Calibrators
 {
 
     /// <summary>

src/Microsoft.ML.Data/Prediction/IPredictionTransformer.cs

@@ -3,7 +3,7 @@
 // See the LICENSE file in the project root for more information.
 
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 
 namespace Microsoft.ML
 {

src/Microsoft.ML.Data/TrainCatalog.cs

@@ -6,7 +6,6 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML.Data;
-using Microsoft.ML.Data.Evaluators.Metrics;
 using Microsoft.ML.Transforms;
 using Microsoft.ML.Transforms.Conversions;
 

src/Microsoft.ML.Data/Transforms/TrainAndScoreTransformer.cs

@@ -5,7 +5,7 @@
 using System.Collections.Generic;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;

src/Microsoft.ML.Ensemble/EntryPoints/PipelineEnsemble.cs

@@ -3,7 +3,7 @@
 // See the LICENSE file in the project root for more information.
 
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Trainers.Ensemble;

src/Microsoft.ML.Ensemble/PipelineEnsemble.cs

@@ -9,7 +9,7 @@
 using System.Text;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;

src/Microsoft.ML.FastTree/FastTree.cs

@@ -11,18 +11,15 @@
 using System.Linq;
 using System.Text;
 using Microsoft.Data.DataView;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Data.Conversion;
-using Microsoft.ML.EntryPoints;
-using Microsoft.ML.FastTree;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Model;
 using Microsoft.ML.Model.OnnxConverter;
 using Microsoft.ML.Model.Pfa;
-using Microsoft.ML.Trainers;
 using Microsoft.ML.Transforms;
 using Microsoft.ML.Transforms.Conversions;
 using Microsoft.ML.TreePredictor;
@@ -3384,7 +3381,7 @@ public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEns
     {
         /// <summary>
         /// An ensemble of trees exposed to users. It is a wrapper on the <see langword="internal"/>
-        /// <see cref="InternalTreeEnsemble"/> in <see cref="ML.FastTree.TreeEnsemble{T}"/>.
+        /// <see cref="InternalTreeEnsemble"/> in <see cref="ML.Trainers.FastTree.TreeEnsemble{T}"/>.
         /// </summary>
         public RegressionTreeEnsemble TrainedTreeEnsemble { get; }
 
@@ -3424,7 +3421,7 @@ public abstract class TreeEnsembleModelParametersBasedOnQuantileRegressionTree :
     {
         /// <summary>
         /// An ensemble of trees exposed to users. It is a wrapper on the <see langword="internal"/>
-        /// <see cref="InternalTreeEnsemble"/> in <see cref="ML.FastTree.TreeEnsemble{T}"/>.
+        /// <see cref="InternalTreeEnsemble"/> in <see cref="ML.Trainers.FastTree.TreeEnsemble{T}"/>.
         /// </summary>
         public QuantileRegressionTreeEnsemble TrainedTreeEnsemble { get; }
 

src/Microsoft.ML.FastTree/FastTreeClassification.cs

@@ -7,7 +7,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;

src/Microsoft.ML.FastTree/GamClassification.cs

@@ -6,7 +6,7 @@
 using System.Threading.Tasks;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Internallearn;

src/Microsoft.ML.FastTree/GamModelParameters.cs

@@ -9,7 +9,7 @@
 using System.Threading;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Command;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;

src/Microsoft.ML.FastTree/RandomForestClassification.cs

@@ -6,7 +6,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;

src/Microsoft.ML.FastTree/RegressionTree.cs

@@ -4,9 +4,8 @@
 
 using System.Collections.Generic;
 using System.Collections.Immutable;
-using Microsoft.ML.Trainers.FastTree;
 
-namespace Microsoft.ML.FastTree
+namespace Microsoft.ML.Trainers.FastTree
 {
     /// <summary>
     /// A container base class for exposing <see cref="InternalRegressionTree"/>'s and

src/Microsoft.ML.FastTree/TreeEnsemble.cs

@@ -5,7 +5,7 @@
 using System.Collections.Generic;
 using System.Linq;
 
-namespace Microsoft.ML.FastTree
+namespace Microsoft.ML.Trainers.FastTree
 {
     /// <summary>
     /// A list of <see cref="RegressionTreeBase"/>'s derived class. To compute the output value of a

src/Microsoft.ML.FastTree/TreeEnsemble/TreeEnsembleCombiner.cs

@@ -4,7 +4,7 @@
 
 using System.Collections.Generic;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.Trainers.FastTree;
 

src/Microsoft.ML.FastTree/TreeEnsembleFeaturizer.cs

@@ -8,7 +8,7 @@
 using System.Linq;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Data.Conversion;
@@ -654,8 +654,8 @@ public static IDataTransform CreateForEntryPoint(IHostEnvironment env, Arguments
                 ch.Assert(predictor == predictor2);
 
                 // Make sure that the given predictor has the correct number of input features.
-                if (predictor is CalibratedModelParametersBase<IPredictorProducing<float>, Calibrator.ICalibrator>)
-                    predictor = ((CalibratedModelParametersBase<IPredictorProducing<float>, Calibrator.ICalibrator>)predictor).SubModel;
+                if (predictor is CalibratedModelParametersBase<IPredictorProducing<float>, Calibrators.ICalibrator>)
+                    predictor = ((CalibratedModelParametersBase<IPredictorProducing<float>, Calibrators.ICalibrator>)predictor).SubModel;
                 // Predictor should be a TreeEnsembleModelParameters, which implements IValueMapper, so this should
                 // be non-null.
                 var vm = predictor as IValueMapper;

src/Microsoft.ML.FastTree/Utils/FastTreeIniFileUtils.cs

@@ -3,7 +3,7 @@
 // See the LICENSE file in the project root for more information.
 
 using System.Text;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Utilities;
 

src/Microsoft.ML.HalLearners/SymSgdClassificationTrainer.cs

@@ -8,7 +8,7 @@
 using System.Security;
 using Microsoft.Data.DataView;
 using Microsoft.ML;
-using Microsoft.ML.Calibrator;
+using Microsoft.ML.Calibrators;
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Data.Conversion;

src/Microsoft.ML.ImageAnalytics/EntryPoints/ImageAnalytics.cs

@@ -6,10 +6,10 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.ImageAnalytics;
 
-[assembly: LoadableClass(typeof(void), typeof(ImageAnalytics), null, typeof(SignatureEntryPointModule), "ImageAnalytics")]
+[assembly: LoadableClass(typeof(void), typeof(ImageAnalyticsEntryPoints), null, typeof(SignatureEntryPointModule), "ImageAnalytics")]
 namespace Microsoft.ML.ImageAnalytics
 {
-    internal static class ImageAnalytics
+    internal static class ImageAnalyticsEntryPoints
     {
         [TlcModule.EntryPoint(Name = "Transforms.ImageLoader", Desc = ImageLoadingTransformer.Summary,
             UserName = ImageLoadingTransformer.UserName, ShortName = ImageLoadingTransformer.LoaderSignature)]