Drop Microsoft.ML.Training and replace it with Microsoft.ML.Trainers. (#2715)

Author: codemzs

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

@@ -10,7 +10,7 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Calibration;
 using Microsoft.ML.Model;
-using Microsoft.ML.Training;
+using Microsoft.ML.Trainers;
 
 [assembly: LoadableClass(typeof(CalibratorTransformer<PlattCalibrator>), typeof(PlattCalibratorTransformer), null,
     typeof(SignatureLoadModel), "", PlattCalibratorTransformer.LoadName)]

src/Microsoft.ML.Data/Training/ITrainerEstimator.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.
 
-namespace Microsoft.ML.Training
+namespace Microsoft.ML.Trainers
 {
     public interface ITrainerEstimator<out TTransformer, out TPredictor> : IEstimator<TTransformer>
         where TTransformer : ISingleFeaturePredictionTransformer<TPredictor>

src/Microsoft.ML.Data/Training/TrainerEstimatorBase.cs

@@ -6,7 +6,7 @@
 using Microsoft.Data.DataView;
 using Microsoft.ML.Data;
 
-namespace Microsoft.ML.Training
+namespace Microsoft.ML.Trainers
 {
     /// <summary>
     /// This represents a basic class for 'simple trainer'.

src/Microsoft.ML.Data/Training/TrainerUtils.cs

@@ -11,7 +11,7 @@
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Transforms;
 
-namespace Microsoft.ML.Training
+namespace Microsoft.ML.Trainers
 {
     /// <summary>
     /// Options for creating a <see cref="TrainingCursorBase"/> from a <see cref="RoleMappedData"/> with specified standard columns active.

src/Microsoft.ML.Ensemble/OutputCombiners/BaseStacking.cs

@@ -11,7 +11,7 @@
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Model;
-using Microsoft.ML.Training;
+using Microsoft.ML.Trainers;
 
 namespace Microsoft.ML.Trainers.Ensemble
 {

src/Microsoft.ML.Ensemble/Selector/FeatureSelector/RandomFeatureSelector.cs

@@ -10,7 +10,6 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Trainers.Ensemble;
 using Microsoft.ML.Trainers.Ensemble.FeatureSelector;
-using Microsoft.ML.Training;
 
 [assembly: LoadableClass(typeof(RandomFeatureSelector), typeof(RandomFeatureSelector.Arguments),
     typeof(SignatureEnsembleFeatureSelector), RandomFeatureSelector.UserName, RandomFeatureSelector.LoadName)]

src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseDiverseSelector.cs

@@ -8,7 +8,6 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
-using Microsoft.ML.Training;
 
 namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
 {

src/Microsoft.ML.Ensemble/Trainer/Binary/EnsembleTrainer.cs

@@ -11,7 +11,6 @@
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
 using Microsoft.ML.Trainers.Online;
-using Microsoft.ML.Training;
 
 [assembly: LoadableClass(EnsembleTrainer.Summary, typeof(EnsembleTrainer), typeof(EnsembleTrainer.Arguments),
     new[] { typeof(SignatureBinaryClassifierTrainer), typeof(SignatureTrainer) },

src/Microsoft.ML.Ensemble/Trainer/EnsembleTrainerBase.cs

@@ -12,7 +12,6 @@
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Trainers.Ensemble.SubsetSelector;
-using Microsoft.ML.Training;
 
 namespace Microsoft.ML.Trainers.Ensemble
 {

src/Microsoft.ML.Ensemble/Trainer/Multiclass/MulticlassDataPartitionEnsembleTrainer.cs

@@ -10,7 +10,6 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Training;
 
 [assembly: LoadableClass(MulticlassDataPartitionEnsembleTrainer.Summary, typeof(MulticlassDataPartitionEnsembleTrainer),
     typeof(MulticlassDataPartitionEnsembleTrainer.Arguments),