private RowImpl(DataViewType type, Delegate getter) { var builder = new DataViewSchema.Builder(); builder.AddColumn("Foo", type, null); Schema = builder.ToSchema(); _getter = getter; }
/// <summary> /// Create a new schema from the given columns. /// </summary> /// <param name="ectx">The exception context.</param> /// <param name="cols">The columns.</param> /// <returns>The resulting schema.</returns> private DataViewSchema CreateSchema(IExceptionContext ectx, Column[] cols) { Contracts.AssertValue(ectx); Contracts.AssertValue(cols); var builder = new DataViewSchema.Builder(); builder.AddColumns(cols.Select(c => new DataViewSchema.DetachedColumn(c.Name, c.ColType, null))); return(builder.ToSchema()); }
/// <summary> /// Returns a <see cref="Annotations"/> row that contains the current contents of this <see cref="Builder"/>. /// </summary> public Annotations ToAnnotations() { var builder = new DataViewSchema.Builder(); foreach (var item in _items) { builder.AddColumn(item.Name, item.Type, item.Annotations); } return(new Annotations(builder.ToSchema(), _items.Select(x => x.Getter).ToArray())); }
public InputObjectDataView(IEnumerable <InputObject> data) { _data = data; var builder = new DataViewSchema.Builder(); builder.AddColumn("Label", BooleanDataViewType.Instance); builder.AddColumn("Text", TextDataViewType.Instance); Schema = builder.ToSchema(); }
/// <summary> /// Returns a <see cref="Metadata"/> row that contains the current contents of this <see cref="Builder"/>. /// </summary> public Metadata ToMetadata() { var builder = new DataViewSchema.Builder(); foreach (var item in _items) { builder.AddColumn(item.Name, item.Type, item.Metadata); } return(new Metadata(builder.ToSchema(), _items.Select(x => x.Getter).ToArray())); }
// Schema not changed public DataViewSchema GetOutputSchema(DataViewSchema inputSchema) { var columns = inputSchema.ToDictionary(x => x.Name); var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumns(inputSchema.AsEnumerable()); schemaBuilder.AddColumn(TimeSeriesImputerEstimator.IsRowImputedColumnName, BooleanDataViewType.Instance); return(schemaBuilder.ToSchema()); }
private static DataViewSchema CreateSchema(Type type) { var builder = new DataViewSchema.Builder(); var members = RecordTypeRegister.GetRecordInfo(type); foreach (var member in members) { builder.AddColumn(member.Name, member.DataViewType); } return(builder.ToSchema()); }
private void SaveModel(ITransformer model, IEnumerable <DataViewSchema.Column> schemaColumns, string path) { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumns(schemaColumns); var schema = schemaBuilder.ToSchema(); Console.WriteLine($"--- Saving the model"); mlContext.Model.Save(model, schema, path); Console.WriteLine($"Model saved to: {path}"); }
public FloatsDataView(IEnumerable <IDictionary <string, float> > data) { _data = data; var builder = new DataViewSchema.Builder(); foreach (var name in data.First().Keys) { builder.AddColumn(name, NumberDataViewType.Single); } Schema = builder.ToSchema(); }
public Cursor(DataView <TData> parent, params DataViewSchema.Column[] columns) { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumns(columns); _schema = schemaBuilder.ToSchema(); _parent = parent; _position = -1; _enumerator = parent.Data.GetEnumerator(); _getters = columns.Select(col => parent._getters[col.Index].CreateDelegate(_enumerator)).ToArray(); }
public void ValidateColumnNotContainedInData() { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn(DefaultColumnNames.Features, NumberDataViewType.Single); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var dataView = DataViewTestFixture.BuildDummyDataView(schema); var columnInfo = new ColumnInformation(); columnInfo.CategoricalColumnNames.Add("Categorical"); Assert.Throws <ArgumentException>(() => ColumnInferenceValidationUtil.ValidateSpecifiedColumnsExist(columnInfo, dataView)); }
private DataViewSchema ComputeOutputSchema() { var schemaBuilder = new DataViewSchema.Builder(); // Iterate through all loaded columns. The index i indicates the i-th column loaded. for (int i = 0; i < Infos.Length; ++i) { var info = Infos[i]; schemaBuilder.AddColumn(info.Name, info.ColType); } return(schemaBuilder.ToSchema()); }
public void ValidateFeaturesColInvalidType() { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn(DefaultColumnNames.Features, NumberDataViewType.Double); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var dataView = DataViewTestFixture.BuildDummyDataView(schema); var ex = Assert.Throws <ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), null, TaskKind.Regression)); Assert.StartsWith("Features column must be of data type Single", ex.Message); }
public void ValidateEmptyTrainingDataThrows() { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn("Number", NumberDataViewType.Single); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var dataView = DataViewTestFixture.BuildDummyDataView(schema, createDummyRow: false); var ex = Assert.Throws <ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), null, TaskKind.Regression)); Assert.StartsWith("Training data has 0 rows", ex.Message); }
/// <summary> /// Gets the Data View from a collection of <see cref="FrameRecord{TData}"/> objects. /// <para/> /// The Data View uses a lazy access to the enumerable. Thus this method does nothing /// it just wraps the enumeration in the data view. /// </summary> /// <typeparam name="T">The type of converation records.</typeparam> /// <param name="records">A collection of records to be used as the basis for the data view.</param> /// <returns>The dataview for the given enumerable.</returns> public static IDataView AsDataView <T>(this IEnumerable <T> records, IDataViewTypeResolver dataViewTypeResolver) { var d = dataViewTypeResolver.GetDataViewType <T>(); var columns = d.GetColumns(); var getters = new DataViewGetters.Builder(); var schema = new DataViewSchema.Builder(); foreach (var column in columns) { getters.AddColumn(column); schema.AddColumn(column.Name, column.DataViewType); } return(new DataView <T>(records, getters.ToGetters(), schema.ToSchema())); }
public UngroupBinding(IExceptionContext ectx, DataViewSchema inputSchema, UngroupMode mode, string[] pivotColumns) { Contracts.AssertValueOrNull(ectx); _ectx = ectx; _ectx.AssertValue(inputSchema); _ectx.AssertNonEmpty(pivotColumns); _inputSchema = inputSchema; // This also makes InputColumnCount valid. Mode = mode; Bind(_ectx, inputSchema, pivotColumns, out _infos); _pivotIndex = Utils.CreateArray(InputColumnCount, -1); for (int i = 0; i < _infos.Length; i++) { var info = _infos[i]; _ectx.Assert(_pivotIndex[info.Index] == -1); _pivotIndex[info.Index] = i; } var schemaBuilder = new DataViewSchema.Builder(); // Iterate through input columns. Input columns which are not pivot columns will be copied to output schema with the same column index unchanged. // Input columns which are pivot columns would also be copied but with different data types and different metadata. for (int i = 0; i < InputColumnCount; ++i) { if (_pivotIndex[i] < 0) { // i-th input column is not a pivot column. Let's do a naive copy. schemaBuilder.AddColumn(inputSchema[i].Name, inputSchema[i].Type, inputSchema[i].Annotations); } else { // i-th input column is a pivot column. Let's calculate proper type and metadata for it. var metadataBuilder = new DataViewSchema.Annotations.Builder(); metadataBuilder.Add(inputSchema[i].Annotations, metadataName => ShouldPreserveMetadata(metadataName)); // To explain the output type of pivot columns, let's consider a row // Age UserID // 18 {"Amy", "Willy"} // where "Age" and "UserID" are column names and 18/{"Amy", "Willy"} is "Age"/"UserID" column in this example row. // If the only pivot column is "UserID", the ungroup may produce // Age UserID // 18 "Amy" // 18 "Willy" // One can see that "UserID" column (in output data) has a type identical to the element's type of the "UserID" column in input data. schemaBuilder.AddColumn(inputSchema[i].Name, inputSchema[i].Type.GetItemType(), metadataBuilder.ToAnnotations()); } } OutputSchema = schemaBuilder.ToSchema(); }
public void ValidateProhibitedFeatureColumnType() { var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn("UInt64", NumberDataViewType.UInt64); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var dataView = DataViewTestFixture.BuildDummyDataView(schema); var ex = Assert.Throws <ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), null, TaskKind.Regression)); Assert.StartsWith("Only supported feature column types are Boolean, Single, and String. Please change the feature column UInt64 of type UInt64 to one of the supported types.", ex.Message); }
private DataViewSchema ProcessInputSchema(DataViewSchema inputSchema, string lengthColumnName) { var builder = new DataViewSchema.Builder(); for (int i = 0; i < inputSchema.Count; i++) { var name = inputSchema[i].Name; if (_columnNames.Contains(name)) { _bindings.vectorToInputMap.Add(i); } else if (name == lengthColumnName) { _bindings.lengthColumn = i; } else { builder.AddColumn(name, inputSchema[i].Type); _bindings.outputToInputMap.Add(i); } } if (_bindings.vectorToInputMap.Count > 0) { var type = inputSchema[_bindings.vectorToInputMap[0]].Type as PrimitiveDataViewType; for (int i = 1; i < _bindings.vectorToInputMap.Count; i++) { var nextType = inputSchema[_bindings.vectorToInputMap[i]].Type as PrimitiveDataViewType; if (!nextType.Equals(type)) { throw Contracts.Except("Input data types of the columns to vectorize must " + "all be of the same type. Found {0} and {1}.", type.ToString(), nextType.ToString()); } } var outputColumnType = new VectorDataViewType(type, 0); var outputColumnName = inputSchema[_bindings.vectorToInputMap[0]].Name; builder.AddColumn(outputColumnName, outputColumnType); _bindings.outputColumn = _bindings.outputToInputMap.Count; } return(builder.ToSchema()); }
public XpoInputObjectDataView(DevExpress.Xpo.XPView data, string TextProperty, string BoolProperty) { _data = data; var builder = new DataViewSchema.Builder(); this.TextProperty = TextProperty; this.BoolProperty = BoolProperty; builder.AddColumn(BoolProperty, BooleanDataViewType.Instance); builder.AddColumn(TextProperty, TextDataViewType.Instance); Schema = builder.ToSchema(); }
public RowMapper(IHostEnvironment env, BindableMapper parent, RoleMappedSchema schema) { Contracts.AssertValue(env); _env = env; _env.AssertValue(schema); _env.AssertValue(parent); _env.Assert(schema.Feature.HasValue); _parent = parent; InputRoleMappedSchema = schema; var genericMapper = parent.GenericMapper.Bind(_env, schema); _genericRowMapper = genericMapper as ISchemaBoundRowMapper; var featureSize = FeatureColumn.Type.GetVectorSize(); if (parent.Stringify) { var builder = new DataViewSchema.Builder(); builder.AddColumn(DefaultColumnNames.FeatureContributions, TextDataViewType.Instance, null); _outputSchema = builder.ToSchema(); if (FeatureColumn.HasSlotNames(featureSize)) { FeatureColumn.Annotations.GetValue(AnnotationUtils.Kinds.SlotNames, ref _slotNames); } else { _slotNames = VBufferUtils.CreateEmpty <ReadOnlyMemory <char> >(featureSize); } } else { var metadataBuilder = new DataViewSchema.Annotations.Builder(); if (InputSchema[FeatureColumn.Index].HasSlotNames(featureSize)) { metadataBuilder.AddSlotNames(featureSize, (ref VBuffer <ReadOnlyMemory <char> > value) => FeatureColumn.Annotations.GetValue(AnnotationUtils.Kinds.SlotNames, ref value)); } var schemaBuilder = new DataViewSchema.Builder(); var featureContributionType = new VectorType(NumberDataViewType.Single, FeatureColumn.Type as VectorType); schemaBuilder.AddColumn(DefaultColumnNames.FeatureContributions, featureContributionType, metadataBuilder.ToAnnotations()); _outputSchema = schemaBuilder.ToSchema(); } _outputGenericSchema = _genericRowMapper.OutputSchema; OutputSchema = new ZipBinding(new DataViewSchema[] { _outputGenericSchema, _outputSchema, }).OutputSchema; }
public FeatureNameCollectionBinding(FeatureNameCollection collection) { Contracts.CheckValue(collection, nameof(collection)); _collection = collection; _colType = new VectorType(NumberDataViewType.Single, collection.Count); _slotNamesType = new VectorType(TextDataViewType.Instance, collection.Count); var metadataBuilder = new DataViewSchema.Annotations.Builder(); metadataBuilder.Add(AnnotationUtils.Kinds.SlotNames, _slotNamesType, (ref VBuffer <ReadOnlyMemory <char> > slotNames) => { GetSlotNames(0, ref slotNames); }); var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn(RoleMappedSchema.ColumnRole.Feature.Value, _colType, metadataBuilder.ToAnnotations()); FeatureNameCollectionSchema = schemaBuilder.ToSchema(); }
private static DataViewSchema CreateSchema(ColumnBindingsBase inputBindings) { Contracts.CheckValue(inputBindings, nameof(inputBindings)); var builder = new DataViewSchema.Builder(); for (int i = 0; i < inputBindings.ColumnCount; i++) { var meta = new DataViewSchema.Annotations.Builder(); foreach (var kvp in inputBindings.GetAnnotationTypes(i)) { var getter = Utils.MarshalInvoke(GetAnnotationGetterDelegate <int>, kvp.Value.RawType, inputBindings, i, kvp.Key); meta.Add(kvp.Key, kvp.Value, getter); } builder.AddColumn(inputBindings.GetColumnName(i), inputBindings.GetColumnType(i), meta.ToAnnotations()); } return(builder.ToSchema()); }
/// <summary> /// Manufacture an instance of <see cref="DataViewSchema"/> out of any <see cref="ISchema"/>. /// </summary> public static DataViewSchema Create(ISchema inputSchema) { Contracts.CheckValue(inputSchema, nameof(inputSchema)); var builder = new DataViewSchema.Builder(); for (int i = 0; i < inputSchema.ColumnCount; i++) { var meta = new DataViewSchema.Annotations.Builder(); foreach (var kvp in inputSchema.GetMetadataTypes(i)) { var getter = Utils.MarshalInvoke(GetMetadataGetterDelegate <int>, kvp.Value.RawType, inputSchema, i, kvp.Key); meta.Add(kvp.Key, kvp.Value, getter); } builder.AddColumn(inputSchema.GetColumnName(i), inputSchema.GetColumnType(i), meta.ToAnnotations()); } return(builder.ToSchema()); }
public void ValidateTextColumnNotText() { const string TextPurposeColName = "TextColumn"; var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn(DefaultColumnNames.Features, NumberDataViewType.Single); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); schemaBuilder.AddColumn(TextPurposeColName, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var dataView = DataViewTestFixture.BuildDummyDataView(schema); var columnInfo = new ColumnInformation(); columnInfo.TextColumnNames.Add(TextPurposeColName); var ex = Assert.Throws <ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, columnInfo, null, TaskKind.Regression)); Assert.Equal("Provided text column 'TextColumn' was of type Single, but only type String is allowed.", ex.Message); }
/// <summary> /// After <see cref="_sourceSchema"/> and <see cref="_sources"/> are set, pick up selected columns from <see cref="_sourceSchema"/> to create <see cref="OutputSchema"/> /// Note that <see cref="_sources"/> tells us what columns in <see cref="_sourceSchema"/> are put into <see cref="OutputSchema"/>. /// </summary> private DataViewSchema ComputeOutputSchema() { var schemaBuilder = new DataViewSchema.Builder(); for (int i = 0; i < _sources.Length; ++i) { // selectedIndex is an column index of input schema. Note that the input column indexed by _sources[i] in _sourceSchema is sent // to the i-th column in the output schema. var selectedIndex = _sources[i]; // The dropped/kept columns are determined by user-specified arguments, so we throw if a bad configuration is provided. string fmt = string.Format("Column index {0} invalid for input with {1} columns", selectedIndex, _sourceSchema.Count); Contracts.Check(selectedIndex < _sourceSchema.Count, fmt); // Copy the selected column into output schema. var selectedColumn = _sourceSchema[selectedIndex]; schemaBuilder.AddColumn(selectedColumn.Name, selectedColumn.Type, selectedColumn.Annotations); } return(schemaBuilder.ToSchema()); }
/// <summary> /// Return a <see cref="DataViewSchema"/> which contains a single score column. /// </summary> /// <param name="scoreType">The type of the score column.</param> /// <param name="scoreColumnKindValue">The kind of the score column. It's the value of <see cref="AnnotationUtils.Kinds.ScoreColumnKind"/> in the score column's metadata.</param> /// <param name="scoreColumnName">The score column's name in the generated <see cref="DataViewSchema"/>.</param> /// <returns><see cref="DataViewSchema"/> which contains only one column.</returns> public static DataViewSchema Create(DataViewType scoreType, string scoreColumnKindValue, string scoreColumnName = AnnotationUtils.Const.ScoreValueKind.Score) { Contracts.CheckValue(scoreType, nameof(scoreType)); Contracts.CheckNonEmpty(scoreColumnKindValue, nameof(scoreColumnKindValue)); // Two metadata fields. One can set up by caller of this function while the other one is a constant. var metadataBuilder = new DataViewSchema.Annotations.Builder(); metadataBuilder.Add(AnnotationUtils.Kinds.ScoreColumnKind, TextDataViewType.Instance, (ref ReadOnlyMemory <char> value) => { value = scoreColumnKindValue.AsMemory(); }); metadataBuilder.Add(AnnotationUtils.Kinds.ScoreValueKind, TextDataViewType.Instance, (ref ReadOnlyMemory <char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); }); // Build a schema consisting of a single column. var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn(scoreColumnName, scoreType, metadataBuilder.ToAnnotations()); return(schemaBuilder.ToSchema()); }
public ZipBinding(DataViewSchema[] sources) { Contracts.AssertNonEmpty(sources); _sources = sources; _cumulativeColCounts = new int[_sources.Length + 1]; _cumulativeColCounts[0] = 0; for (int i = 0; i < sources.Length; i++) { var schema = sources[i]; _cumulativeColCounts[i + 1] = _cumulativeColCounts[i] + schema.Count; } var schemaBuilder = new DataViewSchema.Builder(); foreach (var sourceSchema in sources) { schemaBuilder.AddColumns(sourceSchema); } OutputSchema = schemaBuilder.ToSchema(); }
public void ValidateEmptyValidationDataThrows() { // Training data var dataViewBuilder = new ArrayDataViewBuilder(new MLContext()); dataViewBuilder.AddColumn("Number", NumberDataViewType.Single, 0f); dataViewBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single, 0f); var trainingData = dataViewBuilder.GetDataView(); // Validation data var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn("Number", NumberDataViewType.Single); schemaBuilder.AddColumn(DefaultColumnNames.Label, NumberDataViewType.Single); var schema = schemaBuilder.ToSchema(); var validationData = DataViewTestFixture.BuildDummyDataView(schema, createDummyRow: false); var ex = Assert.Throws <ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(trainingData, new ColumnInformation(), validationData, TaskKind.Regression)); Assert.StartsWith("Validation data has 0 rows", ex.Message); }
void SimpleTest() { var metadataBuilder = new DataViewSchema.Annotations.Builder(); metadataBuilder.Add("M", NumberDataViewType.Single, (ref float v) => v = 484f); var schemaBuilder = new DataViewSchema.Builder(); schemaBuilder.AddColumn("A", new VectorDataViewType(NumberDataViewType.Single, 94)); schemaBuilder.AddColumn("B", new KeyDataViewType(typeof(uint), 17)); schemaBuilder.AddColumn("C", NumberDataViewType.Int32, metadataBuilder.ToAnnotations()); var shape = SchemaShape.Create(schemaBuilder.ToSchema()); var fakeSchema = FakeSchemaFactory.Create(shape); var columnA = fakeSchema[0]; var columnB = fakeSchema[1]; var columnC = fakeSchema[2]; Assert.Equal("A", columnA.Name); Assert.Equal(NumberDataViewType.Single, columnA.Type.GetItemType()); Assert.Equal(10, columnA.Type.GetValueCount()); Assert.Equal("B", columnB.Name); Assert.Equal(InternalDataKind.U4, columnB.Type.GetRawKind()); Assert.Equal(10u, columnB.Type.GetKeyCount()); Assert.Equal("C", columnC.Name); Assert.Equal(NumberDataViewType.Int32, columnC.Type); var metaC = columnC.Annotations; Assert.Single(metaC.Schema); float mValue = -1; metaC.GetValue("M", ref mValue); Assert.Equal(default, mValue);
public BoundMapper(IExceptionContext ectx, TreeEnsembleFeaturizerBindableMapper owner, RoleMappedSchema schema, string treesColumnName, string leavesColumnName, string pathsColumnName) { Contracts.AssertValue(ectx); ectx.AssertValue(owner); ectx.AssertValue(schema); ectx.Assert(schema.Feature.HasValue); _ectx = ectx; _owner = owner; InputRoleMappedSchema = schema; // A vector containing the output of each tree on a given example. var treeValueType = new VectorDataViewType(NumberDataViewType.Single, owner._ensemble.TrainedEnsemble.NumTrees); // An indicator vector with length = the total number of leaves in the ensemble, indicating which leaf the example // ends up in all the trees in the ensemble. var leafIdType = new VectorDataViewType(NumberDataViewType.Single, owner._totalLeafCount); // An indicator vector with length = the total number of nodes in the ensemble, indicating the nodes on // the paths of the example in all the trees in the ensemble. // The total number of nodes in a binary tree is equal to the number of internal nodes + the number of leaf nodes, // and it is also equal to the number of children of internal nodes (which is 2 * the number of internal nodes) // plus one (since the root node is not a child of any node). So we have #internal + #leaf = 2*(#internal) + 1, // which means that #internal = #leaf - 1. // Therefore, the number of internal nodes in the ensemble is #leaf - #trees. var pathIdType = new VectorDataViewType(NumberDataViewType.Single, owner._totalLeafCount - owner._ensemble.TrainedEnsemble.NumTrees); // Start creating output schema with types derived above. var schemaBuilder = new DataViewSchema.Builder(); _treesColumnName = treesColumnName; if (treesColumnName != null) { // Metadata of tree values. var treeIdMetadataBuilder = new DataViewSchema.Annotations.Builder(); treeIdMetadataBuilder.Add(AnnotationUtils.Kinds.SlotNames, AnnotationUtils.GetNamesType(treeValueType.Size), (ValueGetter <VBuffer <ReadOnlyMemory <char> > >)owner.GetTreeSlotNames); // Add the column of trees' output values schemaBuilder.AddColumn(treesColumnName, treeValueType, treeIdMetadataBuilder.ToAnnotations()); } _leavesColumnName = leavesColumnName; if (leavesColumnName != null) { // Metadata of leaf IDs. var leafIdMetadataBuilder = new DataViewSchema.Annotations.Builder(); leafIdMetadataBuilder.Add(AnnotationUtils.Kinds.SlotNames, AnnotationUtils.GetNamesType(leafIdType.Size), (ValueGetter <VBuffer <ReadOnlyMemory <char> > >)owner.GetLeafSlotNames); leafIdMetadataBuilder.Add(AnnotationUtils.Kinds.IsNormalized, BooleanDataViewType.Instance, (ref bool value) => value = true); // Add the column of leaves' IDs where the input example reaches. schemaBuilder.AddColumn(leavesColumnName, leafIdType, leafIdMetadataBuilder.ToAnnotations()); } _pathsColumnName = pathsColumnName; if (pathsColumnName != null) { // Metadata of path IDs. var pathIdMetadataBuilder = new DataViewSchema.Annotations.Builder(); pathIdMetadataBuilder.Add(AnnotationUtils.Kinds.SlotNames, AnnotationUtils.GetNamesType(pathIdType.Size), (ValueGetter <VBuffer <ReadOnlyMemory <char> > >)owner.GetPathSlotNames); pathIdMetadataBuilder.Add(AnnotationUtils.Kinds.IsNormalized, BooleanDataViewType.Instance, (ref bool value) => value = true); // Add the column of encoded paths which the input example passes. schemaBuilder.AddColumn(pathsColumnName, pathIdType, pathIdMetadataBuilder.ToAnnotations()); } OutputSchema = schemaBuilder.ToSchema(); }