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();
}
