feature selection transforms mainly

Author: artidoro

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

@@ -55,7 +55,7 @@ public static TypeConvertingEstimator ConvertType(this TransformsCatalog.Convers
         /// </summary>
         /// <param name="catalog">The transform's catalog.</param>
         /// <param name="columns">Description of dataset columns and how to process them.</param>
-        public static TypeConvertingEstimator ConvertType(this TransformsCatalog.ConversionTransforms catalog, params TypeConvertingTransformer.ColumnInfo[] columns)
+        public static TypeConvertingEstimator ConvertType(this TransformsCatalog.ConversionTransforms catalog, params TypeConvertingEstimator.ColumnInfo[] columns)
             => new TypeConvertingEstimator(CatalogUtils.GetEnvironment(catalog), columns);
 
         /// <summary>

src/Microsoft.ML.Data/Transforms/FeatureContributionCalculationTransform.cs renamed to src/Microsoft.ML.Data/Transforms/FeatureContributionCalculationTransformer.cs

@@ -76,7 +76,7 @@ namespace Microsoft.ML.Data
     /// </example>
     public sealed class FeatureContributionCalculatingTransformer : OneToOneTransformerBase
     {
-        public sealed class Arguments : TransformInputBase
+        internal sealed class Options : TransformInputBase
         {
             [Argument(ArgumentType.Required, HelpText = "The predictor model to apply to data", SortOrder = 1)]
             public PredictorModel PredictorModel;
@@ -128,7 +128,7 @@ private static VersionInfo GetVersionInfo()
         /// <param name="numNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
         /// Note that if there are fewer features with negative contributions than <paramref name="numNegativeContributions"/>, the rest will be returned as zeros.</param>
         /// <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-        public FeatureContributionCalculatingTransformer(IHostEnvironment env, ICalculateFeatureContribution modelParameters,
+        internal FeatureContributionCalculatingTransformer(IHostEnvironment env, ICalculateFeatureContribution modelParameters,
             string featureColumn = DefaultColumnNames.Features,
             int numPositiveContributions = FeatureContributionCalculatingEstimator.Defaults.NumPositiveContributions,
             int numNegativeContributions = FeatureContributionCalculatingEstimator.Defaults.NumNegativeContributions,
@@ -300,7 +300,7 @@ public static class Defaults
         /// <param name="numNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
         /// Note that if there are fewer features with negative contributions than <paramref name="numNegativeContributions"/>, the rest will be returned as zeros.</param>
         /// <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-        public FeatureContributionCalculatingEstimator(IHostEnvironment env, ICalculateFeatureContribution modelParameters,
+        internal FeatureContributionCalculatingEstimator(IHostEnvironment env, ICalculateFeatureContribution modelParameters,
             string featureColumn = DefaultColumnNames.Features,
             int numPositiveContributions = Defaults.NumPositiveContributions,
             int numNegativeContributions = Defaults.NumNegativeContributions,
@@ -312,6 +312,10 @@ public FeatureContributionCalculatingEstimator(IHostEnvironment env, ICalculateF
             _predictor = modelParameters;
         }
 
+        /// <summary>
+        /// Returns the <see cref="SchemaShape"/> of the schema which will be produced by the transformer.
+        /// Used for schema propagation and verification in a pipeline.
+        /// </summary>
         public override SchemaShape GetOutputSchema(SchemaShape inputSchema)
         {
             // Check that the featureColumn is present.
@@ -341,20 +345,20 @@ internal static class FeatureContributionEntryPoint
         [TlcModule.EntryPoint(Name = "Transforms.FeatureContributionCalculationTransformer",
             Desc = FeatureContributionCalculatingTransformer.Summary,
             UserName = FeatureContributionCalculatingTransformer.FriendlyName)]
-        public static CommonOutputs.TransformOutput FeatureContributionCalculation(IHostEnvironment env, FeatureContributionCalculatingTransformer.Arguments args)
+        public static CommonOutputs.TransformOutput FeatureContributionCalculation(IHostEnvironment env, FeatureContributionCalculatingTransformer.Options options)
         {
             Contracts.CheckValue(env, nameof(env));
             var host = env.Register(nameof(FeatureContributionCalculatingTransformer));
-            host.CheckValue(args, nameof(args));
-            EntryPointUtils.CheckInputArgs(host, args);
-            host.CheckValue(args.PredictorModel, nameof(args.PredictorModel));
+            host.CheckValue(options, nameof(options));
+            EntryPointUtils.CheckInputArgs(host, options);
+            host.CheckValue(options.PredictorModel, nameof(options.PredictorModel));
 
-            var predictor = args.PredictorModel.Predictor as ICalculateFeatureContribution;
+            var predictor = options.PredictorModel.Predictor as ICalculateFeatureContribution;
             if (predictor == null)
                 throw host.ExceptUserArg(nameof(predictor), "The provided model parameters do not support feature contribution calculation.");
-            var outData = new FeatureContributionCalculatingTransformer(host, predictor, args.FeatureColumn, args.Top, args.Bottom, args.Normalize).Transform(args.Data);
+            var outData = new FeatureContributionCalculatingTransformer(host, predictor, options.FeatureColumn, options.Top, options.Bottom, options.Normalize).Transform(options.Data);
 
-            return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, outData, args.Data), OutputData = outData};
+            return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, outData, options.Data), OutputData = outData};
         }
     }
 }

src/Microsoft.ML.Data/Transforms/DropSlotsTransform.cs renamed to src/Microsoft.ML.Data/Transforms/SlotsDroppingTransformer.cs

@@ -16,7 +16,7 @@
 using Microsoft.ML.Model;
 using Microsoft.ML.Transforms.FeatureSelection;
 
-[assembly: LoadableClass(SlotsDroppingTransformer.Summary, typeof(IDataTransform), typeof(SlotsDroppingTransformer), typeof(SlotsDroppingTransformer.Arguments), typeof(SignatureDataTransform),
+[assembly: LoadableClass(SlotsDroppingTransformer.Summary, typeof(IDataTransform), typeof(SlotsDroppingTransformer), typeof(SlotsDroppingTransformer.Options), typeof(SignatureDataTransform),
     SlotsDroppingTransformer.FriendlyName, SlotsDroppingTransformer.LoaderSignature, "DropSlots")]
 
 [assembly: LoadableClass(SlotsDroppingTransformer.Summary, typeof(IDataTransform), typeof(SlotsDroppingTransformer), null, typeof(SignatureLoadDataTransform),
@@ -37,14 +37,15 @@ namespace Microsoft.ML.Transforms.FeatureSelection
     /// </summary>
     public sealed class SlotsDroppingTransformer : OneToOneTransformerBase
     {
-        public sealed class Arguments
+        internal sealed class Options
         {
             [Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to drop the slots for",
                 Name = "Column", ShortName = "col", SortOrder = 1)]
             public Column[] Columns;
         }
 
-        public sealed class Column : OneToOneColumn
+        [BestFriend]
+        internal sealed class Column : OneToOneColumn
         {
             [Argument(ArgumentType.Multiple, HelpText = "Source slot index range(s) of the column to drop")]
             public Range[] Slots;
@@ -112,7 +113,7 @@ internal bool TryUnparse(StringBuilder sb)
             }
         }
 
-        public sealed class Range
+        internal sealed class Range
         {
             [Argument(ArgumentType.Required, HelpText = "First index in the range")]
             public int Min;
@@ -191,7 +192,8 @@ public bool IsValid()
         /// <summary>
         /// Describes how the transformer handles one input-output column pair.
         /// </summary>
-        public sealed class ColumnInfo
+        [BestFriend]
+        internal sealed class ColumnInfo
         {
             public readonly string Name;
             public readonly string InputColumnName;
@@ -258,7 +260,7 @@ private static VersionInfo GetVersionInfo()
         /// <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
         /// <param name="min">Specifies the lower bound of the range of slots to be dropped. The lower bound is inclusive. </param>
         /// <param name="max">Specifies the upper bound of the range of slots to be dropped. The upper bound is exclusive.</param>
-        public SlotsDroppingTransformer(IHostEnvironment env, string outputColumnName, string inputColumnName = null, int min = default, int? max = null)
+        internal SlotsDroppingTransformer(IHostEnvironment env, string outputColumnName, string inputColumnName = null, int min = default, int? max = null)
             : this(env, new ColumnInfo(outputColumnName, inputColumnName, (min, max)))
         {
         }
@@ -268,7 +270,7 @@ public SlotsDroppingTransformer(IHostEnvironment env, string outputColumnName, s
         /// </summary>
         /// <param name="env">The environment to use.</param>
         /// <param name="columns">Specifies the ranges of slots to drop for each column pair.</param>
-        public SlotsDroppingTransformer(IHostEnvironment env, params ColumnInfo[] columns)
+        internal SlotsDroppingTransformer(IHostEnvironment env, params ColumnInfo[] columns)
             : base(Contracts.CheckRef(env, nameof(env)).Register(RegistrationName), GetColumnPairs(columns))
         {
             Host.AssertNonEmpty(ColumnPairs);
@@ -308,9 +310,9 @@ private static SlotsDroppingTransformer Create(IHostEnvironment env, ModelLoadCo
         }
 
         // Factory method for SignatureDataTransform.
-        private static IDataTransform Create(IHostEnvironment env, Arguments args, IDataView input)
+        private static IDataTransform Create(IHostEnvironment env, Options options, IDataView input)
         {
-            var columns = args.Columns.Select(column => new ColumnInfo(column)).ToArray();
+            var columns = options.Columns.Select(column => new ColumnInfo(column)).ToArray();
             return new SlotsDroppingTransformer(env, columns).MakeDataTransform(input);
         }