Prediction engine options

src/Microsoft.ML.Data/Model/ModelOperationsCatalog.cs

@@ -333,5 +333,22 @@ public PredictionEngine<TSrc, TDst> CreatePredictionEngine<TSrc, TDst>(ITransfor
             return transformer.CreatePredictionEngine<TSrc, TDst>(_env, false,
                 DataViewConstructionUtils.GetSchemaDefinition<TSrc>(_env, inputSchema));
         }
+
+        /// <summary>
+        /// Create a prediction engine for one-time prediction.
+        /// It's mainly used in conjunction with <see cref="Load(Stream, out DataViewSchema)"/>,
+        /// where input schema is extracted during loading the model.
+        /// </summary>
+        /// <typeparam name="TSrc">The class that defines the input data.</typeparam>
+        /// <typeparam name="TDst">The class that defines the output data.</typeparam>
+        /// <param name="transformer">The transformer to use for prediction.</param>
+        /// <param name="options">Advaned configuration options.</param>
+        public PredictionEngine<TSrc, TDst> CreatePredictionEngine<TSrc, TDst>(ITransformer transformer, PredictionEngine.Options options)
+            where TSrc : class
+            where TDst : class, new()
+        {
+            return transformer.CreatePredictionEngine<TSrc, TDst>(_env, options.IgnoreMissingColumns,
+                options.InputSchemaDefinition, options.OutputSchemaDefinition, options.OwnModelFile);
+        }
     }
 }

src/Microsoft.ML.Data/Model/PredictionEngineExtensions.cs

@@ -24,10 +24,11 @@ internal static class PredictionEngineExtensions
         /// <typeparamref name="TDst"/>.</param>
         /// <param name="inputSchemaDefinition">Additional settings of the input schema.</param>
         /// <param name="outputSchemaDefinition">Additional settings of the output schema.</param>
+        /// <param name="ownModelFile">Whether the prediction engine owns the model file and should dispose of it.</param>
         public static PredictionEngine<TSrc, TDst> CreatePredictionEngine<TSrc, TDst>(this ITransformer transformer,
-            IHostEnvironment env, bool ignoreMissingColumns = true, SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
+            IHostEnvironment env, bool ignoreMissingColumns = true, SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null, bool ownModelFile = true)
             where TSrc : class
             where TDst : class, new()
-            => new PredictionEngine<TSrc, TDst>(env, transformer, ignoreMissingColumns, inputSchemaDefinition, outputSchemaDefinition);
+            => new PredictionEngine<TSrc, TDst>(env, transformer, ignoreMissingColumns, inputSchemaDefinition, outputSchemaDefinition, ownModelFile);
     }
 }

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

@@ -4,6 +4,7 @@
 
 using System;
 using System.Collections.Generic;
+using Microsoft.ML.CommandLine;
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
 
@@ -58,8 +59,8 @@ public sealed class PredictionEngine<TSrc, TDst> : PredictionEngineBase<TSrc, TD
        where TDst : class, new()
     {
         internal PredictionEngine(IHostEnvironment env, ITransformer transformer, bool ignoreMissingColumns,
-            SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
-            : base(env, transformer, ignoreMissingColumns, inputSchemaDefinition, outputSchemaDefinition)
+            SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null, bool ownModelFile = true)
+            : base(env, transformer, ignoreMissingColumns, inputSchemaDefinition, outputSchemaDefinition, ownModelFile)
         {
         }
 
@@ -92,6 +93,7 @@ public abstract class PredictionEngineBase<TSrc, TDst> : IDisposable
         private readonly DataViewConstructionUtils.InputRow<TSrc> _inputRow;
         private readonly IRowReadableAs<TDst> _outputRow;
         private readonly Action _disposer;
+        private readonly bool _ownModelFile;
         private bool _disposed;
 
         /// <summary>
@@ -104,14 +106,15 @@ public abstract class PredictionEngineBase<TSrc, TDst> : IDisposable
 
         [BestFriend]
         private protected PredictionEngineBase(IHostEnvironment env, ITransformer transformer, bool ignoreMissingColumns,
-            SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
+            SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null, bool ownModelFile = true)
         {
             Contracts.CheckValue(env, nameof(env));
             env.AssertValue(transformer);
             Transformer = transformer;
             var makeMapper = TransformerChecker(env, transformer);
             env.AssertValue(makeMapper);
             _inputRow = DataViewConstructionUtils.CreateInputRow<TSrc>(env, inputSchemaDefinition);
+            _ownModelFile = ownModelFile;
             PredictionEngineCore(env, _inputRow, makeMapper(_inputRow.Schema), ignoreMissingColumns, outputSchemaDefinition, out _disposer, out _outputRow);
             OutputSchema = Transformer.GetOutputSchema(_inputRow.Schema);
         }
@@ -139,7 +142,9 @@ public void Dispose()
                 return;
 
             _disposer?.Invoke();
-            (Transformer as IDisposable)?.Dispose();
+
+            if (_ownModelFile)
+                (Transformer as IDisposable)?.Dispose();
 
             _disposed = true;
         }
@@ -170,4 +175,34 @@ public TDst Predict(TSrc example)
         /// is reused.</param>
         public abstract void Predict(TSrc example, ref TDst prediction);
     }
+
+    public sealed class PredictionEngine
+    {
+        /// <summary>
+        /// Options for the <see cref="PredictionEngine{TSrc, TDst}"/> as used in
+        /// [RandomizedPca(Options)](xref:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)).
+        /// </summary>
+        public sealed class Options
+        {
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Whether to throw an error if a column exists in the output schema but not the output object.", ShortName = "ignore", SortOrder = 50)]
+            public bool IgnoreMissingColumns = Defaults.IgnoreMissingColumns;
+
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Additional settings of the input schema.", ShortName = "input", SortOrder = 50)]
+            public SchemaDefinition InputSchemaDefinition = Defaults.InputSchemaDefinition;
+
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Additional settings of the output schema.", ShortName = "output")]
+            public SchemaDefinition OutputSchemaDefinition = Defaults.OutputSchemaDefinition;
+
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Whether the prediction engine owns the model file and should dispose of it.", ShortName = "own")]
+            public bool OwnModelFile = Defaults.OwnModelFile;
+
+            internal static class Defaults
+            {
+                public const bool IgnoreMissingColumns = true;
+                public const SchemaDefinition InputSchemaDefinition = null;
+                public const SchemaDefinition OutputSchemaDefinition = null;
+                public const bool OwnModelFile = true;
+            }
+        }
+    }
 }

src/Microsoft.ML.TimeSeries/PredictionEngine.cs

@@ -148,6 +148,15 @@ public TimeSeriesPredictionEngine(IHostEnvironment env, ITransformer transformer
         {
         }
 
+        /// <summary>
+        /// Contructor for creating time series specific prediction engine. It allows the time series model to be updated with the observations
+        /// seen at prediction time via <see cref="CheckPoint(IHostEnvironment, string)"/>
+        /// </summary>
+        public TimeSeriesPredictionEngine(IHostEnvironment env, ITransformer transformer, PredictionEngine.Options options) :
+            base(env, CloneTransformers(transformer), options.IgnoreMissingColumns, options.InputSchemaDefinition, options.OutputSchemaDefinition, options.OwnModelFile)
+        {
+        }
+
         internal DataViewRow GetStatefulRows(DataViewRow input, IRowToRowMapper mapper, IEnumerable<DataViewSchema.Column> activeColumns, List<StatefulRow> rows)
         {
             Contracts.CheckValue(input, nameof(input));
@@ -398,5 +407,33 @@ public static TimeSeriesPredictionEngine<TSrc, TDst> CreateTimeSeriesEngine<TSrc
             env.CheckValueOrNull(outputSchemaDefinition);
             return new TimeSeriesPredictionEngine<TSrc, TDst>(env, transformer, ignoreMissingColumns, inputSchemaDefinition, outputSchemaDefinition);
         }
+
+        /// <summary>
+        /// <see cref="TimeSeriesPredictionEngine{TSrc, TDst}"/> creates a prediction engine for a time series pipeline.
+        /// It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.
+        /// </summary>
+        /// <typeparam name="TSrc">Class describing input schema to the model.</typeparam>
+        /// <typeparam name="TDst">Class describing the output schema of the prediction.</typeparam>
+        /// <param name="transformer">The time series pipeline in the form of a <see cref="ITransformer"/>.</param>
+        /// <param name="env">Usually <see cref="MLContext"/></param>
+        /// <param name="options">Advaned configuration options.</param>
+        /// <p>Example code can be found by searching for <i>TimeSeriesPredictionEngine</i> in <a href='https://github.com/dotnet/machinelearning'>ML.NET.</a></p>
+        /// <example>
+        /// <format type="text/markdown">
+        /// <![CDATA[
+        /// This is an example for detecting change point using Singular Spectrum Analysis (SSA) model.
+        /// [!code-csharp[MF](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectChangePointBySsa.cs)]
+        /// ]]>
+        /// </format>
+        /// </example>
+        public static TimeSeriesPredictionEngine<TSrc, TDst> CreateTimeSeriesEngine<TSrc, TDst>(this ITransformer transformer, IHostEnvironment env,
+            PredictionEngine.Options options)
+            where TSrc : class
+            where TDst : class, new()
+        {
+            Contracts.CheckValue(env, nameof(env));
+            env.CheckValue(options, nameof(options));
+            return new TimeSeriesPredictionEngine<TSrc, TDst>(env, transformer, options);
+        }
     }
 }

test/Microsoft.ML.IntegrationTests/Prediction.cs

@@ -4,6 +4,7 @@
 
 using System;
 using System.Collections.Generic;
+using System.Reflection;
 using Microsoft.ML.Calibrators;
 using Microsoft.ML.Data;
 using Microsoft.ML.IntegrationTests.Datasets;
@@ -97,5 +98,45 @@ public void ReconfigurablePredictionNoPipeline()
             Assert.True(pr.Score <= 0);
         }
 
+        [Fact]
+        public void PredictionEngineModelDisposal()
+        {
+            var mlContext = new MLContext(seed: 1);
+            var data = mlContext.Data.LoadFromEnumerable(TypeTestData.GenerateDataset());
+            var pipeline = mlContext.BinaryClassification.Trainers.LbfgsLogisticRegression(
+                     new Trainers.LbfgsLogisticRegressionBinaryTrainer.Options { NumberOfThreads = 1 });
+            var model = pipeline.Fit(data);
+
+            var engine = mlContext.Model.CreatePredictionEngine<TypeTestData, Prediction>(model, new PredictionEngine.Options());
+
+            // Dispose of prediction engine, should dispose of model
+            engine.Dispose();
+
+            // Get disposed flag using reflection
+            var bfIsDisposed = BindingFlags.Instance | BindingFlags.NonPublic;
+            var field = model.GetType().BaseType.BaseType.GetField("_disposed", bfIsDisposed);
+
+            // Make sure the model is actually disposed
+            Assert.True((bool)field.GetValue(model));
+
+            // Make a new model/prediction engine. Set the options so prediction engine doesn't dispose
+            model = pipeline.Fit(data);
+
+            var options = new PredictionEngine.Options()
+            {
+                OwnModelFile = false
+            };
+
+            engine = mlContext.Model.CreatePredictionEngine<TypeTestData, Prediction>(model, options);
+
+            // Dispose of prediction engine, shoudln't dispose of model
+            engine.Dispose();
+
+            // Make sure model is not disposed of.
+            Assert.False((bool)field.GetValue(model));
+
+            // Dispose of the model for test cleanliness
+            model.Dispose();
+        }
     }
 }