80 references to DetachedColumn
Microsoft.ML.Data (33)
DataView\DataViewConstructionUtils.cs (1)
816columns[i] = new DataViewSchema.DetachedColumn(col.ColumnName, col.ColumnType, meta.ToAnnotations());
Evaluators\BinaryClassifierEvaluator.cs (3)
1251infos[LogLossCol] = new DataViewSchema.DetachedColumn(LogLoss, _types[LogLossCol], null); 1252infos[AssignedCol] = new DataViewSchema.DetachedColumn(Assigned, _types[AssignedCol], null); 1255return new[] { new DataViewSchema.DetachedColumn(Assigned, _types[AssignedCol], null), };
Evaluators\ClusteringEvaluator.cs (3)
722infos[ClusterIdCol] = new DataViewSchema.DetachedColumn(ClusterId, _types[ClusterIdCol], null); 733infos[SortedClusterCol] = new DataViewSchema.DetachedColumn(SortedClusters, _types[SortedClusterCol], sortedClusters.ToAnnotations()); 734infos[SortedClusterScoreCol] = new DataViewSchema.DetachedColumn(SortedClusterScores, _types[SortedClusterScoreCol], builder.ToAnnotations());
Evaluators\MulticlassClassificationEvaluator.cs (4)
814infos[AssignedCol] = new DataViewSchema.DetachedColumn(Assigned, _types[AssignedCol], assignedColKeyValues.ToAnnotations()); 816infos[LogLossCol] = new DataViewSchema.DetachedColumn(LogLoss, _types[LogLossCol], null); 825infos[SortedScoresCol] = new DataViewSchema.DetachedColumn(SortedScores, _types[SortedScoresCol], sortedScores.ToAnnotations()); 826infos[SortedClassesCol] = new DataViewSchema.DetachedColumn(SortedClasses, _types[SortedClassesCol], sortedClasses.ToAnnotations());
Evaluators\MultiOutputRegressionEvaluator.cs (5)
452infos[LabelOutput] = new DataViewSchema.DetachedColumn(LabelCol, _labelType, _labelMetadata); 453infos[ScoreOutput] = new DataViewSchema.DetachedColumn(ScoreCol, _scoreType, _scoreMetadata); 454infos[L1Output] = new DataViewSchema.DetachedColumn(L1, NumberDataViewType.Double, null); 455infos[L2Output] = new DataViewSchema.DetachedColumn(L2, NumberDataViewType.Double, null); 456infos[DistCol] = new DataViewSchema.DetachedColumn(Dist, NumberDataViewType.Double, null);
Evaluators\QuantileRegressionEvaluator.cs (2)
362infos[L1Col] = new DataViewSchema.DetachedColumn(L1, _outputType, l1Metadata.ToAnnotations()); 363infos[L2Col] = new DataViewSchema.DetachedColumn(L2, _outputType, l2Metadata.ToAnnotations());
Evaluators\RegressionEvaluator.cs (2)
264infos[L1Col] = new DataViewSchema.DetachedColumn(L1, NumberDataViewType.Double, null); 265infos[L2Col] = new DataViewSchema.DetachedColumn(L2, NumberDataViewType.Double, null);
Prediction\CalibratorCatalog.cs (1)
309new DataViewSchema.DetachedColumn(DefaultColumnNames.Probability, NumberDataViewType.Single, builder.ToAnnotations())
Transforms\ColumnConcatenatingTransformer.cs (2)
576return new DataViewSchema.DetachedColumn(_columnOptions.Name, inputCol.Type, inputCol.Annotations); 587return new DataViewSchema.DetachedColumn(_columnOptions.Name, OutputType, metadata.ToAnnotations());
Transforms\ColumnCopying.cs (1)
233result[i] = new DataViewSchema.DetachedColumn(_columns[i].outputColumnName, srcCol.Type, srcCol.Annotations);
Transforms\FeatureContributionCalculationTransformer.cs (1)
200return new[] { new DataViewSchema.DetachedColumn(DefaultColumnNames.FeatureContributions, new VectorDataViewType(NumberDataViewType.Single, _featureColumnType.Size), builder.ToAnnotations()) };
Transforms\Hashing.cs (1)
1341result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _dstTypes[i], meta.ToAnnotations());
Transforms\KeyToValue.cs (1)
178result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], meta.ToAnnotations());
Transforms\KeyToVector.cs (1)
298result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
Transforms\Normalizer.cs (1)
737result[i] = new DataViewSchema.DetachedColumn(_parent.Columns[i].Name, _parent.Columns[i].InputType, MakeMetadata(i));
Transforms\SlotsDroppingTransformer.cs (1)
872result[iinfo] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[iinfo].outputColumnName, _dstTypes[iinfo], builder.ToAnnotations());
Transforms\TypeConverting.cs (1)
462result[i] = new DataViewSchema.DetachedColumn(_parent._columns[i].Name, _types[i], builder.ToAnnotations());
Transforms\ValueMapping.cs (1)
1288result[i] = new DataViewSchema.DetachedColumn(_columns[i].outputColumnName, colType, _valueMap.ValueColumn.Annotations);
Transforms\ValueToKeyMappingTransformer.cs (1)
751result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
Microsoft.ML.ImageAnalytics (3)
ImagePixelExtractor.cs (1)
292=> _parent._columns.Select((x, idx) => new DataViewSchema.DetachedColumn(x.Name, _types[idx], null)).ToArray();
ImageResizer.cs (1)
270=> _parent._columns.Select(x => new DataViewSchema.DetachedColumn(x.Name, x.Type, null)).ToArray();
VectorToImageTransform.cs (1)
323=> _parent._columns.Select((x, idx) => new DataViewSchema.DetachedColumn(x.Name, _types[idx], null)).ToArray();
Microsoft.ML.Mkl.Components (1)
VectorWhitening.cs (1)
592result[iinfo] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[iinfo].outputColumnName, outType, null);
Microsoft.ML.OnnxTransformer (1)
OnnxTransform.cs (1)
507info[i] = new DataViewSchema.DetachedColumn(columnName, _parent.OutputTypes[i], builder.ToAnnotations());
Microsoft.ML.Parquet (2)
ParquetLoader.cs (1)
319builder.AddColumns(cols.Select(c => new DataViewSchema.DetachedColumn(c.Name, c.ColType, null)));
PartitionedFileLoader.cs (1)
321builder.AddColumns(cols.Select(c => new DataViewSchema.DetachedColumn(c.Name, ColumnTypeExtensions.PrimitiveTypeFromKind(c.Type.Value), null)));
Microsoft.ML.PCA (1)
PcaTransformer.cs (1)
565result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _parent._transformInfos[i].OutputType, null);
Microsoft.ML.TensorFlow (1)
TensorflowTransform.cs (1)
788info[i] = new DataViewSchema.DetachedColumn(_parent.Outputs[i], _parent.OutputTypes[i], null);
Microsoft.ML.TimeSeries (6)
SequentialAnomalyDetectionTransformBase.cs (1)
336info[0] = new DataViewSchema.DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Double, _parent.OutputLength), meta.ToAnnotations());
SequentialForecastingTransformBase.cs (4)
133info[0] = new DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Single, _parent._outputLength)); 134info[1] = new DetachedColumn(_parent.ConfidenceLowerBoundColumn, new VectorDataViewType(NumberDataViewType.Single, _parent._outputLength)); 135info[2] = new DetachedColumn(_parent.ConfidenceUpperBoundColumn, new VectorDataViewType(NumberDataViewType.Single, _parent._outputLength)); 140info[0] = new DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Single, _parent._outputLength));
SrCnnTransformBase.cs (1)
179info[0] = new DataViewSchema.DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Double, _parent.OutputLength), meta.ToAnnotations());
Microsoft.ML.TorchSharp (13)
AutoFormerV2\ObjectDetectionTrainer.cs (4)
706var labelCol = new DataViewSchema.DetachedColumn(options.LabelColumnName, type, meta.ToAnnotations()); 767info[0] = new DataViewSchema.DetachedColumn(_parent.Options.PredictedLabelColumnName, new VectorDataViewType(new KeyDataViewType(typeof(uint), _parent.Options.NumberOfClasses)), labelBuilder.ToAnnotations()); 769info[1] = new DataViewSchema.DetachedColumn(_parent.Options.ScoreColumnName, new VectorDataViewType(NumberDataViewType.Single), meta.ToAnnotations()); 771info[2] = new DataViewSchema.DetachedColumn(_parent.Options.PredictedBoundingBoxColumnName, new VectorDataViewType(NumberDataViewType.Single));
NasBert\NasBertTrainer.cs (4)
534info[0] = new DataViewSchema.DetachedColumn(Parent.Options.PredictionColumnName, new KeyDataViewType(typeof(uint), Parent.Options.NumberOfClasses), labelBuilder.ToAnnotations()); 536info[1] = new DataViewSchema.DetachedColumn(Parent.Options.ScoreColumnName, new VectorDataViewType(NumberDataViewType.Single, Parent.Options.NumberOfClasses), meta.ToAnnotations()); 548info[0] = new DataViewSchema.DetachedColumn(Parent.Options.PredictionColumnName, new VectorDataViewType(new KeyDataViewType(typeof(uint), Parent.Options.NumberOfClasses - 1)), labelBuilder.ToAnnotations()); 556info[0] = new DataViewSchema.DetachedColumn(Parent.Options.ScoreColumnName, NumberDataViewType.Single);
NasBert\NerTrainer.cs (1)
352var labelCol = new DataViewSchema.DetachedColumn(options.LabelColumnName, type, meta.ToAnnotations());
NasBert\SentenceSimilarityTrainer.cs (1)
252var labelCol = new DataViewSchema.DetachedColumn(options.LabelColumnName, NumberDataViewType.Single);
NasBert\TextClassificationTrainer.cs (1)
288var labelCol = new DataViewSchema.DetachedColumn(options.LabelColumnName, type, meta.ToAnnotations());
Roberta\QATrainer.cs (2)
746info[0] = new DataViewSchema.DetachedColumn(_parent.Options.PredictedAnswerColumnName, new VectorDataViewType(TextDataViewType.Instance)); 748info[1] = new DataViewSchema.DetachedColumn(_parent.Options.ScoreColumnName, new VectorDataViewType(NumberDataViewType.Single), meta.ToAnnotations());
Microsoft.ML.Transforms (18)
Dracula\CountTableTransformer.cs (2)
625outputCols[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, type, builder.ToAnnotations()); 628outputCols[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, type);
ExpressionTransformer.cs (1)
961outputColumns[i] = new DataViewSchema.DetachedColumn(_parent._columns[i].OutputColumnName, type, builder.ToAnnotations());
GcnTransform.cs (1)
355result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
KeyToVectorMapping.cs (1)
213result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
MissingValueDroppingTransformer.cs (1)
212result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
MissingValueIndicatorTransformer.cs (1)
217result[iinfo] = new DataViewSchema.DetachedColumn(_infos[iinfo].Name, _infos[iinfo].OutputType, builder.ToAnnotations());
MissingValueReplacing.cs (1)
617result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
RandomFourierFeaturizing.cs (1)
498result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], null);
Text\LdaTransform.cs (1)
591result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, new VectorDataViewType(NumberDataViewType.Single, info.NumberOfTopics), null);
Text\NgramHashingTransformer.cs (1)
612result[i] = new DataViewSchema.DetachedColumn(_parent._columns[i].Name, _types[i], builder.ToAnnotations());
Text\NgramTransform.cs (1)
505result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], builder.ToAnnotations());
Text\StopWordsRemovingTransformer.cs (2)
397result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i]); 1091result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i]);
Text\TextNormalizing.cs (1)
264result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _types[i], null);
Text\TokenizingByCharacters.cs (1)
278result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _type, builder.ToAnnotations());
Text\WordBagTransform.cs (1)
296new DataViewSchema.DetachedColumn(_parent._columnName, TextDataViewType.Instance)
Text\WordTokenizing.cs (1)
229result[i] = new DataViewSchema.DetachedColumn(_parent.ColumnPairs[i].outputColumnName, _type, null);
Microsoft.ML.Vision (1)
DnnRetrainTransform.cs (1)
956info[i] = new DataViewSchema.DetachedColumn(_parent._outputs[i], _parent._outputTypes[i], null);