Seal API classes (and make EnableCaching internal) (dotnet#217)

Author: daholste

src/Microsoft.ML.Auto/API/AutoInferenceCatalog.cs

@@ -6,7 +6,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class AutoInferenceCatalog
+    public sealed class AutoInferenceCatalog
     {
         private readonly MLContext _context;
 

src/Microsoft.ML.Auto/API/BinaryClassificationExperiment.cs

@@ -10,7 +10,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class BinaryExperimentSettings : ExperimentSettings
+    public sealed class BinaryExperimentSettings : ExperimentSettings
     {
         public IProgress<RunResult<BinaryClassificationMetrics>> ProgressCallback;
         public BinaryClassificationMetric OptimizingMetric = BinaryClassificationMetric.Accuracy;
@@ -42,7 +42,7 @@ public enum BinaryClassificationTrainer
         SymbolicStochasticGradientDescent,
     }
 
-    public class BinaryClassificationExperiment
+    public sealed class BinaryClassificationExperiment
     {
         private readonly MLContext _context;
         private readonly BinaryExperimentSettings _settings;

src/Microsoft.ML.Auto/API/ColumnInference.cs

@@ -7,13 +7,13 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class ColumnInferenceResults
+    public sealed class ColumnInferenceResults
     {
         public TextLoader.Arguments TextLoaderArgs { get; set; }
         public ColumnInformation ColumnInformation { get; set; }
     }
 
-    public class ColumnInformation
+    public sealed class ColumnInformation
     {
         public string LabelColumn = DefaultColumnNames.Label;
         public string WeightColumn;

src/Microsoft.ML.Auto/API/ExperimentSettings.cs

@@ -9,9 +9,9 @@ namespace Microsoft.ML.Auto
     public class ExperimentSettings
     {
         public uint MaxInferenceTimeInSeconds = 24 * 60 * 60;
-        public bool EnableCaching;
         public CancellationToken CancellationToken;
 
+        internal bool EnableCaching;
         internal int MaxModels = int.MaxValue;
         internal IDebugLogger DebugLogger;
     }

src/Microsoft.ML.Auto/API/InferenceException.cs

@@ -13,7 +13,7 @@ public enum InferenceType
         Label,
     }
 
-    public class InferenceException : Exception
+    public sealed class InferenceException : Exception
     {
         public InferenceType InferenceType;
 

src/Microsoft.ML.Auto/API/MLContextExtension.cs

@@ -2,8 +2,6 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using System.Threading;
-
 namespace Microsoft.ML.Auto
 {
     public static class MLContextExtension

src/Microsoft.ML.Auto/API/MulticlassClassificationExperiment.cs

@@ -10,7 +10,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class MulticlassExperimentSettings : ExperimentSettings
+    public sealed class MulticlassExperimentSettings : ExperimentSettings
     {
         public IProgress<RunResult<MultiClassClassifierMetrics>> ProgressCallback;
         public MulticlassClassificationMetric OptimizingMetric = MulticlassClassificationMetric.AccuracyMicro;
@@ -40,7 +40,7 @@ public enum MulticlassClassificationTrainer
         SymbolicStochasticGradientDescentOVA,
     }
 
-    public class MulticlassClassificationExperiment
+    public sealed class MulticlassClassificationExperiment
     {
         private readonly MLContext _context;
         private readonly MulticlassExperimentSettings _settings;

src/Microsoft.ML.Auto/API/RegressionExperiment.cs

@@ -10,7 +10,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class RegressionExperimentSettings : ExperimentSettings
+    public sealed class RegressionExperimentSettings : ExperimentSettings
     {
         public IProgress<RunResult<RegressionMetrics>> ProgressCallback;
         public RegressionMetric OptimizingMetric = RegressionMetric.RSquared;
@@ -37,7 +37,7 @@ public enum RegressionTrainer
         StochasticDualCoordinateAscent,
     }
 
-    public class RegressionExperiment
+    public sealed class RegressionExperiment
     {
         private readonly MLContext _context;
         private readonly RegressionExperimentSettings _settings;

src/Microsoft.ML.Auto/API/RunResult.cs

@@ -7,7 +7,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class RunResult<T>
+    public sealed class RunResult<T>
     {
         public readonly T Metrics;
         public readonly ITransformer Model;