removing :

sfilipi · sfilipi · commit e10cced15afe · 2019-02-25T14:19:54.000-08:00
Microsoft.ML.Trainers.Ensemble.DiversityMeasure
Microsoft.ML.Trainers.Ensemble.FeatureSelector
Microsoft.ML.Trainers.Ensemble.SubModelSelector
diff --git a/src/Microsoft.ML.Ensemble/EntryPoints/DiversityMeasure.cs b/src/Microsoft.ML.Ensemble/EntryPoints/DiversityMeasure.cs
@@ -4,7 +4,6 @@
 
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
 
 [assembly: EntryPointModule(typeof(DisagreementDiversityFactory))]
 [assembly: EntryPointModule(typeof(RegressionDisagreementDiversityFactory))]
diff --git a/src/Microsoft.ML.Ensemble/EntryPoints/FeatureSelector.cs b/src/Microsoft.ML.Ensemble/EntryPoints/FeatureSelector.cs
@@ -4,7 +4,6 @@
 
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.FeatureSelector;
 
 [assembly: EntryPointModule(typeof(AllFeatureSelectorFactory))]
 [assembly: EntryPointModule(typeof(RandomFeatureSelector))]
diff --git a/src/Microsoft.ML.Ensemble/EntryPoints/SubModelSelector.cs b/src/Microsoft.ML.Ensemble/EntryPoints/SubModelSelector.cs
@@ -4,7 +4,6 @@
 
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: EntryPointModule(typeof(AllSelectorFactory))]
 [assembly: EntryPointModule(typeof(AllSelectorMultiClassFactory))]
diff --git a/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/BaseDisagreementDiversityMeasure.cs b/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/BaseDisagreementDiversityMeasure.cs
@@ -6,7 +6,7 @@
 using System.Collections.Concurrent;
 using System.Collections.Generic;
 
-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal abstract class BaseDisagreementDiversityMeasure<TOutput> : IDiversityMeasure<TOutput>
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/DisagreementDiversityMeasure.cs b/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/DisagreementDiversityMeasure.cs
@@ -5,12 +5,11 @@
 using System;
 using Microsoft.ML;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
 
 [assembly: LoadableClass(typeof(DisagreementDiversityMeasure), null, typeof(SignatureEnsembleDiversityMeasure),
     DisagreementDiversityMeasure.UserName, DisagreementDiversityMeasure.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class DisagreementDiversityMeasure : BaseDisagreementDiversityMeasure<Single>, IBinaryDiversityMeasure
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/ModelDiversityMetric.cs b/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/ModelDiversityMetric.cs
@@ -4,7 +4,7 @@
 
 using System;
 
-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class ModelDiversityMetric<TOutput>
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/MultiDisagreementDiversityMeasure.cs b/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/MultiDisagreementDiversityMeasure.cs
@@ -7,12 +7,11 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Numeric;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
 
 [assembly: LoadableClass(typeof(MultiDisagreementDiversityMeasure), null, typeof(SignatureEnsembleDiversityMeasure),
     DisagreementDiversityMeasure.UserName, MultiDisagreementDiversityMeasure.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class MultiDisagreementDiversityMeasure : BaseDisagreementDiversityMeasure<VBuffer<Single>>, IMulticlassDiversityMeasure
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/RegressionDisagreementDiversityMeasure.cs b/src/Microsoft.ML.Ensemble/Selector/DiversityMeasure/RegressionDisagreementDiversityMeasure.cs
@@ -5,12 +5,11 @@
 using System;
 using Microsoft.ML;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
 
 [assembly: LoadableClass(typeof(RegressionDisagreementDiversityMeasure), null, typeof(SignatureEnsembleDiversityMeasure),
     DisagreementDiversityMeasure.UserName, RegressionDisagreementDiversityMeasure.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class RegressionDisagreementDiversityMeasure : BaseDisagreementDiversityMeasure<Single>, IRegressionDiversityMeasure
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/FeatureSelector/AllFeatureSelector.cs b/src/Microsoft.ML.Ensemble/Selector/FeatureSelector/AllFeatureSelector.cs
@@ -6,12 +6,11 @@
 using Microsoft.ML;
 using Microsoft.ML.Data;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.FeatureSelector;
 
 [assembly: LoadableClass(typeof(AllFeatureSelector), null, typeof(SignatureEnsembleFeatureSelector),
     AllFeatureSelector.UserName, AllFeatureSelector.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.FeatureSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class AllFeatureSelector : IFeatureSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/FeatureSelector/RandomFeatureSelector.cs b/src/Microsoft.ML.Ensemble/Selector/FeatureSelector/RandomFeatureSelector.cs
@@ -9,13 +9,12 @@
 using Microsoft.ML.Data;
 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)]
 
-namespace Microsoft.ML.Trainers.Ensemble.FeatureSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal class RandomFeatureSelector : IFeatureSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/IDiversityMeasure.cs b/src/Microsoft.ML.Ensemble/Selector/IDiversityMeasure.cs
@@ -7,7 +7,6 @@
 using System.Collections.Generic;
 using Microsoft.ML.Data;
 using Microsoft.ML.EntryPoints;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
 
 namespace Microsoft.ML.Trainers.Ensemble
 {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/AllSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/AllSelector.cs
@@ -5,11 +5,10 @@
 using System;
 using Microsoft.ML;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(AllSelector), null, typeof(SignatureEnsembleSubModelSelector), AllSelector.UserName, AllSelector.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class AllSelector : BaseSubModelSelector<Single>, IBinarySubModelSelector, IRegressionSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/AllSelectorMultiClass.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/AllSelectorMultiClass.cs
@@ -6,12 +6,11 @@
 using Microsoft.ML;
 using Microsoft.ML.Data;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(AllSelectorMultiClass), null, typeof(SignatureEnsembleSubModelSelector),
     AllSelectorMultiClass.UserName, AllSelectorMultiClass.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class AllSelectorMultiClass : BaseSubModelSelector<VBuffer<Single>>, IMulticlassSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseBestPerformanceSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseBestPerformanceSelector.cs
@@ -8,7 +8,7 @@
 using System.Reflection;
 using Microsoft.ML.CommandLine;
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal abstract class BaseBestPerformanceSelector<TOutput> : SubModelDataSelector<TOutput>
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseDiverseSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseDiverseSelector.cs
@@ -7,10 +7,9 @@
 using System.Collections.Generic;
 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
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal abstract class BaseDiverseSelector<TOutput, TDiversityMetric> : SubModelDataSelector<TOutput>
         where TDiversityMetric : class, IDiversityMeasure<TOutput>
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseSubModelSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BaseSubModelSelector.cs
@@ -8,7 +8,7 @@
 using Microsoft.Data.DataView;
 using Microsoft.ML.Data;
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal abstract class BaseSubModelSelector<TOutput> : ISubModelSelector<TOutput>
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorBinary.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorBinary.cs
@@ -10,13 +10,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestDiverseSelectorBinary), typeof(BestDiverseSelectorBinary.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestDiverseSelectorBinary.UserName, BestDiverseSelectorBinary.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestDiverseSelectorBinary : BaseDiverseSelector<Single, DisagreementDiversityMeasure>, IBinarySubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorMultiClass.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorMultiClass.cs
@@ -11,13 +11,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestDiverseSelectorMultiClass), typeof(BestDiverseSelectorMultiClass.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestDiverseSelectorMultiClass.UserName, BestDiverseSelectorMultiClass.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestDiverseSelectorMultiClass : BaseDiverseSelector<VBuffer<Single>, IDiversityMeasure<VBuffer<Single>>>, IMulticlassSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorRegression.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestDiverseSelectorRegression.cs
@@ -10,13 +10,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestDiverseSelectorRegression), typeof(BestDiverseSelectorRegression.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestDiverseSelectorRegression.UserName, BestDiverseSelectorRegression.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestDiverseSelectorRegression : BaseDiverseSelector<Single, RegressionDisagreementDiversityMeasure>, IRegressionSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceRegressionSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceRegressionSelector.cs
@@ -9,12 +9,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestPerformanceRegressionSelector), typeof(BestPerformanceRegressionSelector.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestPerformanceRegressionSelector.UserName, BestPerformanceRegressionSelector.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestPerformanceRegressionSelector : BaseBestPerformanceSelector<Single>, IRegressionSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceSelector.cs
@@ -9,12 +9,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestPerformanceSelector), typeof(BestPerformanceSelector.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestPerformanceSelector.UserName, BestPerformanceSelector.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestPerformanceSelector : BaseBestPerformanceSelector<Single>, IBinarySubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceSelectorMultiClass.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/BestPerformanceSelectorMultiClass.cs
@@ -9,12 +9,11 @@
 using Microsoft.ML.EntryPoints;
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Trainers.Ensemble;
-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;
 
 [assembly: LoadableClass(typeof(BestPerformanceSelectorMultiClass), typeof(BestPerformanceSelectorMultiClass.Arguments),
     typeof(SignatureEnsembleSubModelSelector), BestPerformanceSelectorMultiClass.UserName, BestPerformanceSelectorMultiClass.LoadName)]
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal sealed class BestPerformanceSelectorMultiClass : BaseBestPerformanceSelector<VBuffer<Single>>, IMulticlassSubModelSelector
     {
diff --git a/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/SubModelDataSelector.cs b/src/Microsoft.ML.Ensemble/Selector/SubModelSelector/SubModelDataSelector.cs
@@ -6,7 +6,7 @@
 using Microsoft.ML.CommandLine;
 using Microsoft.ML.Internal.Internallearn;
 
-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector
+namespace Microsoft.ML.Trainers.Ensemble
 {
     internal abstract class SubModelDataSelector<TOutput> : BaseSubModelSelector<TOutput>
     {

Original file line number	Diff line number	Diff line change
`@@ -6,7 +6,7 @@`
`6`	`6`	`using System.Collections.Concurrent;`
`7`	`7`	`using System.Collections.Generic;`
`8`	`8`
`9`		`-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure`
	`9`	`+namespace Microsoft.ML.Trainers.Ensemble`
`10`	`10`	`{`
`11`	`11`	`internal abstract class BaseDisagreementDiversityMeasure<TOutput> : IDiversityMeasure<TOutput>`
`12`	`12`	`{`
Original file line number	Diff line number	Diff line change
`@@ -5,12 +5,11 @@`
`5`	`5`	`using System;`
`6`	`6`	`using Microsoft.ML;`
`7`	`7`	`using Microsoft.ML.Trainers.Ensemble;`
`8`		`-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;`
`9`	`8`
`10`	`9`	`[assembly: LoadableClass(typeof(DisagreementDiversityMeasure), null, typeof(SignatureEnsembleDiversityMeasure),`
`11`	`10`	`DisagreementDiversityMeasure.UserName, DisagreementDiversityMeasure.LoadName)]`
`12`	`11`
`13`		`-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure`
	`12`	`+namespace Microsoft.ML.Trainers.Ensemble`
`14`	`13`	`{`
`15`	`14`	`internal sealed class DisagreementDiversityMeasure : BaseDisagreementDiversityMeasure<Single>, IBinaryDiversityMeasure`
`16`	`15`	`{`
Original file line number	Diff line number	Diff line change
`@@ -4,7 +4,7 @@`
`4`	`4`
`5`	`5`	`using System;`
`6`	`6`
`7`		`-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure`
	`7`	`+namespace Microsoft.ML.Trainers.Ensemble`
`8`	`8`	`{`
`9`	`9`	`internal sealed class ModelDiversityMetric<TOutput>`
`10`	`10`	`{`
Original file line number	Diff line number	Diff line change
`@@ -7,12 +7,11 @@`
`7`	`7`	`using Microsoft.ML.Data;`
`8`	`8`	`using Microsoft.ML.Numeric;`
`9`	`9`	`using Microsoft.ML.Trainers.Ensemble;`
`10`		`-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;`
`11`	`10`
`12`	`11`	`[assembly: LoadableClass(typeof(MultiDisagreementDiversityMeasure), null, typeof(SignatureEnsembleDiversityMeasure),`
`13`	`12`	`DisagreementDiversityMeasure.UserName, MultiDisagreementDiversityMeasure.LoadName)]`
`14`	`13`
`15`		`-namespace Microsoft.ML.Trainers.Ensemble.DiversityMeasure`
	`14`	`+namespace Microsoft.ML.Trainers.Ensemble`
`16`	`15`	`{`
`17`	`16`	`internal sealed class MultiDisagreementDiversityMeasure : BaseDisagreementDiversityMeasure<VBuffer<Single>>, IMulticlassDiversityMeasure`
`18`	`17`	`{`
Original file line number	Diff line number	Diff line change
`@@ -6,12 +6,11 @@`
`6`	`6`	`using Microsoft.ML;`
`7`	`7`	`using Microsoft.ML.Data;`
`8`	`8`	`using Microsoft.ML.Trainers.Ensemble;`
`9`		`-using Microsoft.ML.Trainers.Ensemble.FeatureSelector;`
`10`	`9`
`11`	`10`	`[assembly: LoadableClass(typeof(AllFeatureSelector), null, typeof(SignatureEnsembleFeatureSelector),`
`12`	`11`	`AllFeatureSelector.UserName, AllFeatureSelector.LoadName)]`
`13`	`12`
`14`		`-namespace Microsoft.ML.Trainers.Ensemble.FeatureSelector`
	`13`	`+namespace Microsoft.ML.Trainers.Ensemble`
`15`	`14`	`{`
`16`	`15`	`internal sealed class AllFeatureSelector : IFeatureSelector`
`17`	`16`	`{`
Original file line number	Diff line number	Diff line change
`@@ -9,13 +9,12 @@`
`9`	`9`	`using Microsoft.ML.Data;`
`10`	`10`	`using Microsoft.ML.EntryPoints;`
`11`	`11`	`using Microsoft.ML.Trainers.Ensemble;`
`12`		`-using Microsoft.ML.Trainers.Ensemble.FeatureSelector;`
`13`	`12`	`using Microsoft.ML.Training;`
`14`	`13`
`15`	`14`	`[assembly: LoadableClass(typeof(RandomFeatureSelector), typeof(RandomFeatureSelector.Arguments),`
`16`	`15`	`typeof(SignatureEnsembleFeatureSelector), RandomFeatureSelector.UserName, RandomFeatureSelector.LoadName)]`
`17`	`16`
`18`		`-namespace Microsoft.ML.Trainers.Ensemble.FeatureSelector`
	`17`	`+namespace Microsoft.ML.Trainers.Ensemble`
`19`	`18`	`{`
`20`	`19`	`internal class RandomFeatureSelector : IFeatureSelector`
`21`	`20`	`{`
Original file line number	Diff line number	Diff line change
`@@ -7,7 +7,6 @@`
`7`	`7`	`using System.Collections.Generic;`
`8`	`8`	`using Microsoft.ML.Data;`
`9`	`9`	`using Microsoft.ML.EntryPoints;`
`10`		`-using Microsoft.ML.Trainers.Ensemble.DiversityMeasure;`
`11`	`10`
`12`	`11`	`namespace Microsoft.ML.Trainers.Ensemble`
`13`	`12`	`{`
Original file line number	Diff line number	Diff line change
`@@ -5,11 +5,10 @@`
`5`	`5`	`using System;`
`6`	`6`	`using Microsoft.ML;`
`7`	`7`	`using Microsoft.ML.Trainers.Ensemble;`
`8`		`-using Microsoft.ML.Trainers.Ensemble.SubModelSelector;`
`9`	`8`
`10`	`9`	`[assembly: LoadableClass(typeof(AllSelector), null, typeof(SignatureEnsembleSubModelSelector), AllSelector.UserName, AllSelector.LoadName)]`
`11`	`10`
`12`		`-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector`
	`11`	`+namespace Microsoft.ML.Trainers.Ensemble`
`13`	`12`	`{`
`14`	`13`	`internal sealed class AllSelector : BaseSubModelSelector<Single>, IBinarySubModelSelector, IRegressionSubModelSelector`
`15`	`14`	`{`
Original file line number	Diff line number	Diff line change
`@@ -8,7 +8,7 @@`
`8`	`8`	`using System.Reflection;`
`9`	`9`	`using Microsoft.ML.CommandLine;`
`10`	`10`
`11`		`-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector`
	`11`	`+namespace Microsoft.ML.Trainers.Ensemble`
`12`	`12`	`{`
`13`	`13`	`internal abstract class BaseBestPerformanceSelector<TOutput> : SubModelDataSelector<TOutput>`
`14`	`14`	`{`
Original file line number	Diff line number	Diff line change
`@@ -8,7 +8,7 @@`
`8`	`8`	`using Microsoft.Data.DataView;`
`9`	`9`	`using Microsoft.ML.Data;`
`10`	`10`
`11`		`-namespace Microsoft.ML.Trainers.Ensemble.SubModelSelector`
	`11`	`+namespace Microsoft.ML.Trainers.Ensemble`
`12`	`12`	`{`
`13`	`13`	`internal abstract class BaseSubModelSelector<TOutput> : ISubModelSelector<TOutput>`
`14`	`14`	`{`