make pipeline object model & other public classes internal (dotnet#43)

Author: daholste

src/AutoML/API/MLContextAutoFitExtensions.cs

@@ -184,9 +184,9 @@ public class BinaryClassificationItertionResult
         public readonly BinaryClassificationMetrics Metrics;
         public readonly ITransformer Model;
         public readonly IDataView ScoredValidationData;
-        public readonly Pipeline Pipeline;
+        internal readonly Pipeline Pipeline;
 
-        public BinaryClassificationItertionResult(ITransformer model, BinaryClassificationMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
+        internal BinaryClassificationItertionResult(ITransformer model, BinaryClassificationMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
         {
             Model = model;
             ScoredValidationData = scoredValidationData;
@@ -200,9 +200,9 @@ public class MulticlassClassificationIterationResult
         public readonly MultiClassClassifierMetrics Metrics;
         public readonly ITransformer Model;
         public readonly IDataView ScoredValidationData;
-        public readonly Pipeline Pipeline;
+        internal readonly Pipeline Pipeline;
 
-        public MulticlassClassificationIterationResult(ITransformer model, MultiClassClassifierMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
+        internal MulticlassClassificationIterationResult(ITransformer model, MultiClassClassifierMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
         {
             Model = model;
             Metrics = metrics;
@@ -216,9 +216,9 @@ public class RegressionIterationResult
         public readonly RegressionMetrics Metrics;
         public readonly ITransformer Model;
         public readonly IDataView ScoredValidationData;
-        public readonly Pipeline Pipeline;
+        internal readonly Pipeline Pipeline;
 
-        public RegressionIterationResult(ITransformer model, RegressionMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
+        internal RegressionIterationResult(ITransformer model, RegressionMetrics metrics, IDataView scoredValidationData, Pipeline pipeline)
         {
             Model = model;
             Metrics = metrics;

src/AutoML/API/Pipeline.cs

@@ -7,7 +7,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public class Pipeline
+    internal class Pipeline
     {
         public PipelineNode[] Nodes { get; set; }
 
@@ -28,7 +28,7 @@ public IEstimator<ITransformer> ToEstimator()
         }
     }
 
-    public class PipelineNode
+    internal class PipelineNode
     {
         public string Name { get; set; }
         public PipelineNodeType NodeType { get; set; }
@@ -65,13 +65,13 @@ internal PipelineNode()
         }
     }
 
-    public enum PipelineNodeType
+    internal enum PipelineNodeType
     {
         Transform,
         Trainer
     }
 
-    public class CustomProperty
+    internal class CustomProperty
     {
         public string Name { get; set; }
         public IDictionary<string, object> Properties { get; set; }
@@ -87,9 +87,8 @@ internal CustomProperty()
         }
     }
 
-    public class PipelineRunResult
+    internal class PipelineRunResult
     {
-        public readonly Pipeline Pipeline;
         public readonly double Score;
 
         /// <summary>
@@ -98,7 +97,9 @@ public class PipelineRunResult
         /// </summary>
         public readonly bool RunSucceded;
 
-        public PipelineRunResult(Pipeline pipeline, double score, bool runSucceeded)
+        internal readonly Pipeline Pipeline;
+
+        internal PipelineRunResult(Pipeline pipeline, double score, bool runSucceeded)
         {
             Pipeline = pipeline;
             Score = score;

src/AutoML/AutoFitter/OptimizingMetric.cs

@@ -6,7 +6,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public enum OptimizingMetric
+    internal enum OptimizingMetric
     {
         Auc,
         Accuracy,

src/AutoML/EstimatorExtensions/EstimatorExtensionCatalog.cs

@@ -7,7 +7,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public enum EstimatorName
+    internal enum EstimatorName
     {
         ColumnConcatenating,
         ColumnCopying,

src/AutoML/TaskKind.cs

@@ -4,7 +4,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public enum TaskKind
+    internal enum TaskKind
     {
         BinaryClassification,
         MulticlassClassification,

src/AutoML/TrainerExtensions/TrainerExtensionUtil.cs

@@ -10,7 +10,7 @@
 
 namespace Microsoft.ML.Auto
 {
-    public enum TrainerName
+    internal enum TrainerName
     {
         AveragedPerceptronBinary,
         AveragedPerceptronOva,