209 references to Double
Microsoft.Data.Analysis (5)
DataFrameColumns\VBufferDataFrameColumn.cs (2)
325return new VectorDataViewType(NumberDataViewType.Double); 365return new VectorDataViewType(NumberDataViewType.Double);
IDataView.Extension.cs (1)
79else if (type == NumberDataViewType.Double)
PrimitiveDataFrameColumn.cs (2)
807return NumberDataViewType.Double; 853return NumberDataViewType.Double;
Microsoft.ML.AutoML (1)
AutoMLExperiment\ITrialResultManager.cs (1)
50schemaBuilder.AddColumn("parameter", new VectorDataViewType(NumberDataViewType.Double));
Microsoft.ML.AutoML.Tests (7)
UserInputValidationTests.cs (5)
203schemaBuilder.AddColumn(DefaultColumnNames.Features, NumberDataViewType.Double); 238ValidateLabelTypeTestCore<double>(TaskKind.Regression, NumberDataViewType.Double, false); 247ValidateLabelTypeTestCore<double>(TaskKind.Recommendation, NumberDataViewType.Double, false); 263ValidateLabelTypeTestCore<double>(TaskKind.MulticlassClassification, NumberDataViewType.Double, true); 272ValidateLabelTypeTestCore<double>(TaskKind.Ranking, NumberDataViewType.Double, false);
Utils\MLNetUtils\DataViewTestFixture.cs (2)
33if (column.type == NumberDataViewType.Double) 35dataBuilder.AddColumn(column.name, NumberDataViewType.Double, createDummyRow ? new double[] { 0 } : new double[] { });
Microsoft.ML.Core (1)
Data\ColumnTypeExtensions.cs (1)
162return NumberDataViewType.Double;
Microsoft.ML.Core.Tests (2)
UnitTests\DataTypes.cs (2)
50var r8ToSB = Conversions.DefaultInstance.GetStringConversion<double>(NumberDataViewType.Double); 53TextDataViewType.Instance, NumberDataViewType.Double, out bool identity2);
Microsoft.ML.Data (138)
Commands\DataCommand.cs (1)
169var getter = RowCursorUtils.GetGetterAs<double>(NumberDataViewType.Double, cursor, currentIndex);
Data\RowCursorUtils.cs (4)
343if (type == NumberDataViewType.Single || type == NumberDataViewType.Double || type is BooleanDataViewType) 359if (type == NumberDataViewType.Double) 378Contracts.Assert(type != NumberDataViewType.Single && type != NumberDataViewType.Double); 419if (type == NumberDataViewType.Double || type is BooleanDataViewType)
DataLoadSave\DataOperationsCatalog.cs (1)
578if (type != NumberDataViewType.Single && type != NumberDataViewType.Double)
Evaluators\AnomalyDetectionEvaluator.cs (4)
185overallDvBldr.AddColumn(BinaryClassifierEvaluator.Auc, NumberDataViewType.Double, auc.ToArray()); 186overallDvBldr.AddColumn(OverallMetrics.DrAtK, NumberDataViewType.Double, drAtK.ToArray()); 187overallDvBldr.AddColumn(OverallMetrics.DrAtPFpr, NumberDataViewType.Double, drAtP.ToArray()); 188overallDvBldr.AddColumn(OverallMetrics.DrAtNumPos, NumberDataViewType.Double, drAtNumAnomalies.ToArray());
Evaluators\BinaryClassifierEvaluator.cs (25)
135if (t != NumberDataViewType.Single && t != NumberDataViewType.Double && t != BooleanDataViewType.Instance && t.GetKeyCount() != 2) 342overallDvBldr.AddColumn(Auc, NumberDataViewType.Double, auc.ToArray()); 343overallDvBldr.AddColumn(Accuracy, NumberDataViewType.Double, accuracy.ToArray()); 344overallDvBldr.AddColumn(PosPrecName, NumberDataViewType.Double, posPrec.ToArray()); 345overallDvBldr.AddColumn(PosRecallName, NumberDataViewType.Double, posRecall.ToArray()); 346overallDvBldr.AddColumn(NegPrecName, NumberDataViewType.Double, negPrec.ToArray()); 347overallDvBldr.AddColumn(NegRecallName, NumberDataViewType.Double, negRecall.ToArray()); 348overallDvBldr.AddColumn(LogLoss, NumberDataViewType.Double, logLoss.ToArray()); 349overallDvBldr.AddColumn(LogLossReduction, NumberDataViewType.Double, logLossRed.ToArray()); 350overallDvBldr.AddColumn(Entropy, NumberDataViewType.Double, entropy.ToArray()); 351overallDvBldr.AddColumn(F1, NumberDataViewType.Double, f1.ToArray()); 353overallDvBldr.AddColumn(AuPrc, NumberDataViewType.Double, auprc.ToArray()); 364confDvBldr.AddColumn(MetricKinds.ColumnNames.Count, getSlotNames, NumberDataViewType.Double, counts.ToArray()); 367confDvBldr.AddColumn(MetricKinds.ColumnNames.Weight, getSlotNames, NumberDataViewType.Double, weights.ToArray()); 382dvBldr.AddColumn(Precision, NumberDataViewType.Double, precision.ToArray()); 383dvBldr.AddColumn(Recall, NumberDataViewType.Double, recall.ToArray()); 384dvBldr.AddColumn(FalsePositiveRate, NumberDataViewType.Double, fpr.ToArray()); 387dvBldr.AddColumn("Weighted " + Precision, NumberDataViewType.Double, weightedPrecision.ToArray()); 388dvBldr.AddColumn("Weighted " + Recall, NumberDataViewType.Double, weightedRecall.ToArray()); 389dvBldr.AddColumn("Weighted " + FalsePositiveRate, NumberDataViewType.Double, weightedFpr.ToArray()); 1076_types[LogLossCol] = NumberDataViewType.Double; 1102_types[LogLossCol] = NumberDataViewType.Double; 1265if (t != NumberDataViewType.Single && t != NumberDataViewType.Double && t != BooleanDataViewType.Instance && t.GetKeyCount() != 2) 1566schemaBuilder.AddColumn(mc.LoadName, NumberDataViewType.Double); 1580schemaBuilder.AddColumn(MetricKinds.ColumnNames.Count, NumberDataViewType.Double);
Evaluators\ClusteringEvaluator.cs (3)
209overallDvBldr.AddColumn(Nmi, NumberDataViewType.Double, nmi.ToArray()); 210overallDvBldr.AddColumn(AvgMinScore, NumberDataViewType.Double, avgMinScores.ToArray()); 212overallDvBldr.AddColumn(Dbi, NumberDataViewType.Double, dbi.ToArray());
Evaluators\EvaluatorUtils.cs (11)
307if (type == NumberDataViewType.Double || type == NumberDataViewType.Single) 308getters[i] = RowCursorUtils.GetGetterAs<double>(NumberDataViewType.Double, cursor, i); 311&& vectorType.ItemType == NumberDataViewType.Double 1013getters[i] = RowCursorUtils.GetGetterAs<double>(NumberDataViewType.Double, row, i); 1017else if (type is VectorDataViewType vectorType && vectorType.ItemType == NumberDataViewType.Double) 1280else if (type is VectorDataViewType vectorType && vectorType.IsKnownSize && vectorType.ItemType == NumberDataViewType.Double) 1317dvBldr.AddColumn(columnName, getSlotNames, NumberDataViewType.Double, new[] { vectorMetrics, vectorStdevMetrics }); 1320dvBldr.AddColumn(columnName, getSlotNames, NumberDataViewType.Double, new[] { vectorMetrics }); 1329dvBldr.AddColumn(agg[iMetric].Name, NumberDataViewType.Double, avg, Math.Sqrt(agg[iMetric].SumSq / numFolds - avg * avg)); 1331dvBldr.AddColumn(agg[iMetric].Name, NumberDataViewType.Double, avg); 1479Contracts.Check(type != null && type.IsKnownSize && type.ItemType == NumberDataViewType.Double);
Evaluators\MulticlassClassificationEvaluator.cs (13)
216overallDvBldr.AddColumn(AccuracyMicro, NumberDataViewType.Double, microAcc.ToArray()); 217overallDvBldr.AddColumn(AccuracyMacro, NumberDataViewType.Double, macroAcc.ToArray()); 218overallDvBldr.AddColumn(LogLoss, NumberDataViewType.Double, logLoss.ToArray()); 219overallDvBldr.AddColumn(LogLossReduction, NumberDataViewType.Double, logLossRed.ToArray()); 222overallDvBldr.AddColumn(TopKAccuracy, NumberDataViewType.Double, topKAcc.ToArray()); 227overallDvBldr.AddColumn(AllTopKAccuracy, getKSlotNames, NumberDataViewType.Double, allTopK.ToArray()); 230overallDvBldr.AddColumn(PerClassLogLoss, aggregator.GetSlotNames, NumberDataViewType.Double, perClassLogLoss.ToArray()); 241confDvBldr.AddColumn(MetricKinds.ColumnNames.Count, getSlotNames, NumberDataViewType.Double, counts.ToArray()); 244confDvBldr.AddColumn(MetricKinds.ColumnNames.Weight, getSlotNames, NumberDataViewType.Double, weights.ToArray()); 634_types[LogLossCol] = NumberDataViewType.Double; 663_types[LogLossCol] = NumberDataViewType.Double; 976EvaluateUtils.ReconcileSlotNames<double>(Host, views, MulticlassClassificationEvaluator.PerClassLogLoss, NumberDataViewType.Double, 1064labelName, labelCol.Type, NumberDataViewType.Double,
Evaluators\MultiOutputRegressionEvaluator.cs (13)
66if (t == null || !t.IsKnownSize || (t.ItemType != NumberDataViewType.Single && t.ItemType != NumberDataViewType.Double)) 153overallDvBldr.AddColumn(PerLabelL1, aggregator.GetSlotNames, NumberDataViewType.Double, perLabelL1.ToArray()); 154overallDvBldr.AddColumn(PerLabelL2, aggregator.GetSlotNames, NumberDataViewType.Double, perLabelL2.ToArray()); 155overallDvBldr.AddColumn(PerLabelRms, aggregator.GetSlotNames, NumberDataViewType.Double, perLabelRms.ToArray()); 156overallDvBldr.AddColumn(PerLabelLoss, aggregator.GetSlotNames, NumberDataViewType.Double, perLabelLoss.ToArray()); 157overallDvBldr.AddColumn(L1, NumberDataViewType.Double, l1.ToArray()); 158overallDvBldr.AddColumn(L2, NumberDataViewType.Double, l2.ToArray()); 159overallDvBldr.AddColumn(Dist, NumberDataViewType.Double, dist.ToArray()); 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); 550if (t == null || !t.IsKnownSize || (t.ItemType != NumberDataViewType.Single && t.ItemType != NumberDataViewType.Double)) 708if (type != null && type.IsKnownSize && type.ItemType == NumberDataViewType.Double)
Evaluators\QuantileRegressionEvaluator.cs (9)
60if (t == null || t.Size == 0 || (t.ItemType != NumberDataViewType.Single && t.ItemType != NumberDataViewType.Double)) 72Host.Assert(scoreType != null && scoreType.Size > 0 && (scoreType.ItemType == NumberDataViewType.Single || scoreType.ItemType == NumberDataViewType.Double)); 252dvBldr.AddColumn(metricName, getSlotNames, NumberDataViewType.Double, metric); 255dvBldr.AddColumn(metricName, NumberDataViewType.Double, metric); 295_outputType = new VectorDataViewType(NumberDataViewType.Double, _scoreSize); 314_outputType = new VectorDataViewType(NumberDataViewType.Double, _scoreSize); 452if (scoreType == null || scoreType.Size == 0 || (scoreType.ItemType != NumberDataViewType.Single && scoreType.ItemType != NumberDataViewType.Double)) 517if (type is VectorDataViewType vectorType && vectorType.IsKnownSize && vectorType.ItemType == NumberDataViewType.Double) 521output = LambdaColumnMapper.Create(Host, "Quantile Regression", output, name, name, type, NumberDataViewType.Double,
Evaluators\RankingEvaluator.cs (6)
221overallDvBldr.AddColumn(Ndcg, aggregator.GetSlotNames, NumberDataViewType.Double, ndcg.ToArray()); 222overallDvBldr.AddColumn(Dcg, aggregator.GetSlotNames, NumberDataViewType.Double, dcg.ToArray()); 233groupDvBldr.AddColumn(Ndcg, aggregator.GetGroupSummarySlotNames("NDCG"), NumberDataViewType.Double, groupNdcg.ToArray()); 234groupDvBldr.AddColumn(Dcg, aggregator.GetGroupSummarySlotNames("DCG"), NumberDataViewType.Double, groupDcg.ToArray()); 235groupDvBldr.AddColumn(MaxDcg, aggregator.GetGroupSummarySlotNames("MaxDCG"), NumberDataViewType.Double, groupMaxDcg.ToArray()); 642_outputType = new VectorDataViewType(NumberDataViewType.Double, _truncationLevel);
Evaluators\RegressionEvaluator.cs (3)
163dvBldr.AddColumn(metricName, NumberDataViewType.Double, metric); 264infos[L1Col] = new DataViewSchema.DetachedColumn(L1, NumberDataViewType.Double, null); 265infos[L2Col] = new DataViewSchema.DetachedColumn(L2, NumberDataViewType.Double, null);
Training\TrainerUtils.cs (4)
90if (col.Type != BooleanDataViewType.Instance && col.Type != NumberDataViewType.Single && col.Type != NumberDataViewType.Double && !(col.Type is KeyDataViewType keyType && keyType.Count == 2)) 125if (col.Type != NumberDataViewType.Single && col.Type != NumberDataViewType.Double) 154if (col.Type != NumberDataViewType.Single && col.Type != NumberDataViewType.Double) 207if (col.Type != NumberDataViewType.Single && col.Type != NumberDataViewType.Double)
Transforms\KeyToValue.cs (2)
519if (TypeOutput == NumberDataViewType.Double || TypeOutput == BooleanDataViewType.Instance) 547else if (TypeOutput == NumberDataViewType.Double)
Transforms\LabelIndicatorTransform.cs (2)
111if (type.GetKeyCount() > 0 || type == NumberDataViewType.Single || type == NumberDataViewType.Double) 214if (info.TypeSrc == NumberDataViewType.Double)
Transforms\NAFilter.cs (1)
193if (itemType == NumberDataViewType.Double)
Transforms\NormalizeColumn.cs (20)
209if (itemType != NumberDataViewType.Single && itemType != NumberDataViewType.Double) 437if (typeSrc == NumberDataViewType.Double) 444if (vectorType.ItemType == NumberDataViewType.Double) 556if (typeSrc == NumberDataViewType.Double) 563if (vectorType.ItemType == NumberDataViewType.Double) 692if (typeSrc == NumberDataViewType.Double) 699if (vectorType.ItemType == NumberDataViewType.Double) 842var getSrc = RowCursorUtils.GetGetterAs<Double>(NumberDataViewType.Double, row, col); 987if (srcType == NumberDataViewType.Double) 994if (vectorType.ItemType == NumberDataViewType.Double) 1026if (srcType == NumberDataViewType.Double) 1033if (vectorType.ItemType == NumberDataViewType.Double) 1067if (srcType == NumberDataViewType.Double) 1074if (vectorType.ItemType == NumberDataViewType.Double) 1107if (srcType == NumberDataViewType.Double) 1114if (vectorType.ItemType == NumberDataViewType.Double) 1166if (srcType == NumberDataViewType.Double) 1173if (vectorType.ItemType == NumberDataViewType.Double) 1218if (srcType == NumberDataViewType.Double) 1225if (vectorType.ItemType == NumberDataViewType.Double)
Transforms\Normalizer.cs (2)
356if (!col.ItemType.Equals(NumberDataViewType.Single) && !col.ItemType.Equals(NumberDataViewType.Double)) 710if (!itemType.Equals(NumberDataViewType.Single) && !itemType.Equals(NumberDataViewType.Double))
Transforms\RangeFilter.cs (6)
155if (_type != NumberDataViewType.Single && _type != NumberDataViewType.Double && _type.GetKeyCount() == 0) 243if (_type == NumberDataViewType.Double) 264return type == NumberDataViewType.Single || type == NumberDataViewType.Double || type.GetKeyCount() > 0; 390Ch.Assert(Parent._type == NumberDataViewType.Double); 402Ch.Assert(Parent._type == NumberDataViewType.Double); 408Ch.Assert(Parent._type == NumberDataViewType.Double);
Transforms\SlotsDroppingTransformer.cs (1)
503|| type == NumberDataViewType.Single || type == NumberDataViewType.Double || type is TextDataViewType;
Transforms\ValueMapping.cs (6)
1114(typeValue == NumberDataViewType.Double || typeValue == BooleanDataViewType.Instance) ? ctx.AddIntermediateVariable(new VectorDataViewType(NumberDataViewType.Single, (int)srcShape[1]), "LabelEncoderOutput") : 1172if (typeValue == NumberDataViewType.Single || typeValue == NumberDataViewType.Double || typeValue == BooleanDataViewType.Instance) 1182else if (typeKey == NumberDataViewType.Double) 1184if (typeValue == NumberDataViewType.Single || typeValue == NumberDataViewType.Double || typeValue == BooleanDataViewType.Instance) 1198if (typeValue == NumberDataViewType.Single || typeValue == NumberDataViewType.Double || typeValue == BooleanDataViewType.Instance) 1252else if (typeValue == NumberDataViewType.Double)
Transforms\ValueToKeyMappingTransformer.cs (1)
842else if (type.Equals(NumberDataViewType.Double))
Microsoft.ML.EntryPoints (1)
CrossValidationMacro.cs (1)
390EvaluateUtils.ReconcileSlotNames<double>(env, input.ConfusionMatrix, MetricKinds.ColumnNames.Count, NumberDataViewType.Double);
Microsoft.ML.FastTree (8)
FastTree.cs (2)
1403var copier = GetCopier<float, double>(NumberDataViewType.Single, NumberDataViewType.Double); 1473var copier = GetCopier<float, double>(NumberDataViewType.Single, NumberDataViewType.Double);
Utils\RegressionTreeBaseUtils.cs (6)
99builder.AddColumn("Bias", NumberDataViewType.Double, Enumerable.Repeat(bias, numberOfRows).ToArray()); 100builder.AddColumn("TreeWeights", NumberDataViewType.Double, treeWeightsList.ToArray()); 108builder.AddColumn(nameof(RegressionTreeBase.LeafValues), NumberDataViewType.Double, leafValues.ToArray()); 109builder.AddColumn(nameof(RegressionTreeBase.SplitGains), NumberDataViewType.Double, splitGains.ToArray()); 138builder.AddColumn("LeafSamples", NumberDataViewType.Double, leafSamples.ToArray()); 139builder.AddColumn("LeafSampleWeights", NumberDataViewType.Double, leafSampleWeights.ToArray());
Microsoft.ML.ImageAnalytics (2)
VectorToImageTransform.cs (2)
336if (sourceItemType == NumberDataViewType.Single || sourceItemType == NumberDataViewType.Double) 751if (col.Kind != SchemaShape.Column.VectorKind.Vector || (col.ItemType != NumberDataViewType.Single && col.ItemType != NumberDataViewType.Double && col.ItemType != NumberDataViewType.Byte))
Microsoft.ML.OnnxTransformer (1)
OnnxTypeParser.cs (1)
151scalarType = NumberDataViewType.Double;
Microsoft.ML.Parquet (2)
ParquetLoader.cs (2)
359return NumberDataViewType.Double; 361return NumberDataViewType.Double;
Microsoft.ML.PerformanceTests (2)
HashBench.cs (2)
173InitMapMurmurHashV2(5.0, NumberDataViewType.Double); 224InitDenseVecMap(new[] { 1d, 2d, 3d, 4d, 5d }, NumberDataViewType.Double);
Microsoft.ML.Predictor.Tests (4)
TestTransposer.cs (4)
163builder.AddColumn("B", NumberDataViewType.Double, GenerateHelper(rowCount, 0.8, rgen, rgen.NextDouble, 50, 0, 25, 49)); 167builder.AddColumn("D", NumberDataViewType.Double, GenerateHelper(rowCount, 0.1, rgen, rgen.NextDouble, 3, 1)); 229builder.AddColumn("B", NumberDataViewType.Double, GenerateHelper(rowCount, 0.8, rgen, rgen.NextDouble, 50, 0, 25, 49)); 233builder.AddColumn("D", NumberDataViewType.Double, GenerateHelper(rowCount, 0.1, rgen, rgen.NextDouble, 3, 1));
Microsoft.ML.Recommender (2)
MatrixFactorizationTrainer.cs (2)
444if (labelCol.Type != NumberDataViewType.Single && labelCol.Type != NumberDataViewType.Double) 453if (validLabelCol.Type != NumberDataViewType.Single && validLabelCol.Type != NumberDataViewType.Double)
Microsoft.ML.StandardTrainers (2)
Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)
195Host.Assert(label.Type.GetKeyCount() > 0 || label.Type == NumberDataViewType.Single || label.Type == NumberDataViewType.Double);
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (1)
168Host.Assert(label.Type.GetKeyCount() > 0 || label.Type == NumberDataViewType.Single || label.Type == NumberDataViewType.Double);
Microsoft.ML.TensorFlow (1)
TensorflowUtils.cs (1)
165return NumberDataViewType.Double;
Microsoft.ML.TestFramework (4)
BaseTestBaseline.cs (1)
719else if (leftType == NumberDataViewType.Double)
DataPipe\TestDataPipe.cs (3)
1092TestHashTransformVectorHelper(_dataDoubleSparse, results, NumberDataViewType.Double); 1098TestHashTransformHelper(_dataDouble, _resultsDouble, NumberDataViewType.Double); 1106TestHashTransformVectorHelper(data, results, NumberDataViewType.Double);
Microsoft.ML.Tests (6)
Transformers\ExpressionTransformerTests.cs (2)
50Assert.True(transformed.Schema["Expr1"].Type == NumberDataViewType.Double); 54Assert.True(transformed.Schema["Expr4"].Type.GetItemType() == NumberDataViewType.Double);
Transformers\HashTests.cs (4)
307HashTestCore(1d, NumberDataViewType.Double, 188, 57, 690, 655, 896); 308HashTestCore(-1d, NumberDataViewType.Double, 885, 804, 22, 461, 309); 309HashTestCore(0d, NumberDataViewType.Double, 512, 851, 795, 333, 113); 310HashTestCore(double.NaN, NumberDataViewType.Double, 0, 0, 0, 0, 0);
Microsoft.ML.TimeSeries (10)
IidChangePointDetector.cs (1)
276Transformer.InternalTransform.OutputColumnName, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Double, false, new SchemaShape(metadata));
IidSpikeDetector.cs (1)
251Transformer.InternalTransform.OutputColumnName, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Double, false, new SchemaShape(metadata));
SequentialAnomalyDetectionTransformBase.cs (2)
171: base(Contracts.CheckRef(env, nameof(env)).Register(name), windowSize, initialWindowSize, outputColumnName, inputColumnName, new VectorDataViewType(NumberDataViewType.Double, GetOutputLength(alertingScore, env))) 336info[0] = new DataViewSchema.DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Double, _parent.OutputLength), meta.ToAnnotations());
SRCNNAnomalyDetector.cs (1)
283Transformer.InternalTransform.OutputColumnName, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Double, false, new SchemaShape(metadata));
SrCnnEntireAnomalyDetector.cs (1)
200_bindings = new Bindings(input.Schema, inputColumnName, outputColumnName, new VectorDataViewType(NumberDataViewType.Double, _outputLength));
SrCnnTransformBase.cs (2)
71: base(Contracts.CheckRef(env, nameof(env)).Register(name), windowSize, initialWindowSize, outputColumnName, inputColumnName, new VectorDataViewType(NumberDataViewType.Double, 3)) 179info[0] = new DataViewSchema.DetachedColumn(_parent.OutputColumnName, new VectorDataViewType(NumberDataViewType.Double, _parent.OutputLength), meta.ToAnnotations());
SsaChangePointDetector.cs (1)
311_options.Name, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Double, false, new SchemaShape(metadata));
SsaSpikeDetector.cs (1)
290_options.Name, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Double, false, new SchemaShape(metadata));
Microsoft.ML.Transforms (10)
CountFeatureSelection.cs (1)
350=> type == NumberDataViewType.Single || type == NumberDataViewType.Double || type is TextDataViewType;
Dracula\CountTableTransformer.cs (1)
265var getSrc = RowCursorUtils.GetGetterAs<double>(NumberDataViewType.Double, row, col.Index);
Expression\LambdaBinder.cs (1)
79node.ResultType = NumberDataViewType.Double;
Expression\Node.cs (1)
672else if (type == NumberDataViewType.Double)
MutualInformationFeatureSelection.cs (3)
407type == NumberDataViewType.Single || type == NumberDataViewType.Double || type == NumberDataViewType.Int32; 535else if (labelType == NumberDataViewType.Double) 613if (itemType == NumberDataViewType.Double)
Text\LdaTransform.cs (3)
607var getSrc = RowCursorUtils.GetVecGetterAs<Double>(NumberDataViewType.Double, input, _srcCols[iinfo]); 870getters[i] = RowCursorUtils.GetVecGetterAs<Double>(NumberDataViewType.Double, cursor, srcCols[i]); 949getters[i] = RowCursorUtils.GetVecGetterAs<Double>(NumberDataViewType.Double, cursor, srcCols[i]);