GetValueCount

DataLoadSave\Text\TextSaver.cs (1)

DataLoadSave\Transpose\TransposeLoader.cs (3)

313Host.CheckDecode(type.GetValueCount() == rowCount); 738_host.Assert((trans as ITransposeDataView)?.GetSlotType(0).GetValueCount() == Schema[col].Type.GetValueCount());

DataView\Transposer.cs (3)

520int vecLen = type.GetValueCount(); 690_slotLim = _view.Schema[_colCurr].Type.GetValueCount(); 1444int valueCount = type.GetValueCount();

Transforms\ColumnConcatenatingTransformer.cs (3)

599Contracts.Assert(_srcTypes[i].GetValueCount() > 0); 602slotCount += _srcTypes[i - 1].GetValueCount(); 933InputSchema[srcIndex].Type.GetValueCount()));

Transforms\Hashing.cs (1)

1430var vectorShape = new VectorDataViewType(NumberDataViewType.Int64, _srcTypes[iinfo].GetValueCount());

Transforms\KeyToVector.cs (4)

257int valueCount = _infos[i].TypeSrc.GetValueCount(); 309int srcValueCount = srcType.GetValueCount(); 431int valueCount = info.TypeSrc.GetValueCount(); 709var dim = info.TypeSrc.GetValueCount();

Transforms\NormalizeColumn.cs (1)

918ColumnSlotCount = valueCol.Type.GetValueCount();

Transforms\Normalizer.cs (1)

833int valueCount = info.InputType.GetValueCount();

Transforms\SlotsDroppingTransformer.cs (1)

794int srcValueCount = _srcTypes[iinfo].GetValueCount();

Transforms\ValueToKeyMappingTransformer.cs (1)

822var labelEncoderOutput = ctx.AddIntermediateVariable(new VectorDataViewType(NumberDataViewType.Int64, _types[iinfo].GetValueCount()), "LabelEncoderOutput");

FastTreeClassification.cs (1)

197FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

FastTreeRanking.cs (1)

150FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

FastTreeRegression.cs (1)

120FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

FastTreeTweedie.cs (1)

130FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

GamModelParameters.cs (1)

635int len = featCol.Type.GetValueCount();

GamTrainer.cs (1)

233InputLength = context.TrainingSet.Schema.Feature.Value.Type.GetValueCount();

RandomForestClassification.cs (1)

224FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

RandomForestRegression.cs (1)

363FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();

TreeEnsemble\InternalTreeEnsemble.cs (1)

442int featValueCount = feat.Type.GetValueCount();

TreeEnsemble\TreeEnsembleCombiner.cs (2)

83featureCount = tree.InputType.GetValueCount(); 88_host.Check(featureCount == tree.InputType.GetValueCount(), "Found models with different number of features");

VectorToImageTransform.cs (1)

306if (vectorType.GetValueCount() != _columns[col].ImageHeight * _columns[col].ImageWidth * _columns[col].Planes)

VectorWhitening.cs (6)

228long valueCount = type.GetValueCount(); 237long valueCount = col.GetValueCount(); 351idxDst[i] += srcTypes[i].GetValueCount(); 376int ccol = srcTypes[iinfo].GetValueCount(); 607int cslotSrc = _srcTypes[iinfo].GetValueCount(); 648int dimension = _srcTypes[iinfo].GetValueCount();

OnnxUtils.cs (1)

363int valueCount = type.GetValueCount();

OnnxTransform.cs (1)

559int typeValueCount = type.GetValueCount();

PcaTransformer.cs (1)

217_transformInfos[i] = new TransformInfo(colInfo.Rank, sInfo.InputType.GetValueCount());

TensorflowTransform.cs (1)

595long typeValueCount = type.GetValueCount();

FakeSchemaTest.cs (1)

40Assert.Equal(10, columnA.Type.GetValueCount());

SvmLightTests.cs (4)

44Assert.True(data.Schema["Features"].Type.GetValueCount() == expectedInputSize); 157Assert.True(data.Schema["Features"].Type.GetValueCount() == 3); 186Assert.True(data.Schema["Features"].Type.GetValueCount() == 3); 208Assert.True(data.Schema["Features"].Type.GetValueCount() == 1);

Transformers\ExpressionTransformerTests.cs (3)

51Assert.Equal(6, transformed.Schema["Expr2"].Type.GetValueCount()); 55Assert.Equal(6, transformed.Schema["Expr4"].Type.GetValueCount()); 58Assert.Equal(7, transformed.Schema["Expr6"].Type.GetValueCount());

Transformers\HashTests.cs (3)

368Assert.Equal(9, hashedCol.Type.GetValueCount()); 392Assert.Equal(1, transformed.Schema["DHashed"].Type.GetValueCount()); 394Assert.Equal(1, transformed.Schema["DHashedCombined"].Type.GetValueCount());

CountFeatureSelection.cs (1)

319colSizes[i] = colType.GetValueCount();

Dracula\CountTableTransformer.cs (3)

615var valueCount = inputCol.Type.GetValueCount(); 646Host.Assert(inputSlotNames.Length == inputCol.Type.GetValueCount()); 700int n = inputCol.Type.GetValueCount();

Dracula\MultiCountTable.cs (4)

79var size = col.Type.GetValueCount(); 102_host.Check(size == inputCols[i].Type.GetValueCount(), "Inconsistent number of slots"); 256_slotCount[i] = inputColumns[i].Type.GetValueCount(); 266All(pair => pair.col.Type.GetValueCount() == pair.count), "Inconsistent number of slots");

ExpressionTransformer.cs (1)

957type = new VectorDataViewType(_parent._columns[i].OutputColumnItemType, vectorColumn.Type.GetValueCount());

HashJoiningTransform.cs (5)

124get { return OutputColumnType.GetValueCount(); } 267slotMap[j].All(slot => 0 <= slot && slot < Infos[i].TypeSrc.GetValueCount())); 324Host.Assert(ex.SlotMap[i].All(slot => 0 <= slot && slot < Infos[iColumn].TypeSrc.GetValueCount())); 387if (type.GetValueCount() > 0) 426|| srcSlotNames.Length != Infos[iinfo].TypeSrc.GetValueCount();

KeyToVectorMapping.cs (1)

179int srcValueCount = _infos[i].TypeSrc.GetValueCount();

MissingValueIndicatorTransform.cs (1)

139Host.Check(type.GetValueCount() < int.MaxValue / 2);

MutualInformationFeatureSelection.cs (2)

480colSizes[i] = colType.GetValueCount(); 662var slotCount = trans.Schema[col].Type.GetValueCount();

RandomFourierFeaturizing.cs (2)

263typeSrc.GetValueCount(), avgDistances[i]); 517var featuresAligned = new AlignedArray(RoundUp(_srcTypes[iinfo].GetValueCount(), _cfltAlign), CpuMathUtils.GetVectorAlignment());

Text\TokenizingByCharacters.cs (1)

210_sourceVectorLength[i] = type.GetValueCount();

DnnRetrainTransform.cs (1)

809int typeValueCount = type.GetValueCount();