20 writes to Data
Microsoft.ML.Core.Tests (19)
UnitTests\TestEntryPoints.cs (19)
118var result = FeatureCombiner.PrepareFeatures(Env, new FeatureCombiner.FeatureCombinerInput() { Data = dataView, Features = new[] { "F1", "F2", "Rest" } }).OutputData; 136var trainData = FeatureCombiner.PrepareFeatures(Env, new FeatureCombiner.FeatureCombinerInput() { Data = dataView, Features = new[] { "F1", "F2", "Rest" } }); 141scored1 = ScoreModel.SelectColumns(Env, new ScoreModel.ScoreColumnSelectorInput() { Data = scored1, ExtraColumns = new[] { "Label" } }).OutputData; 144scored2 = ScoreModel.SelectColumns(Env, new ScoreModel.ScoreColumnSelectorInput() { Data = scored2, ExtraColumns = new[] { "Label" } }).OutputData; 158var data1 = FeatureCombiner.PrepareFeatures(Env, new FeatureCombiner.FeatureCombinerInput() { Data = dataView, Features = new[] { "F1", "F2", "Rest" } }); 159var data2 = ModelOperations.Apply(Env, new ModelOperations.ApplyTransformModelInput() { Data = dataView, TransformModel = data1.Model }); 1512new Calibrate.FixedPlattInput { Data = splitOutput.TestData[1], UncalibratedPredictorModel = lrModel }).PredictorModel; 1515scored1 = ScoreModel.SelectColumns(Env, new ScoreModel.ScoreColumnSelectorInput() { Data = scored1, ExtraColumns = new[] { "Label" } }).OutputData; 1518scored2 = ScoreModel.SelectColumns(Env, new ScoreModel.ScoreColumnSelectorInput() { Data = scored2, ExtraColumns = new[] { "Label" } }).OutputData; 1523var input = new Calibrate.NoArgumentsInput() { Data = splitOutput.TestData[1], UncalibratedPredictorModel = lrModel }; 1533new Calibrate.NoArgumentsInput() { Data = splitOutput.TestData[0], UncalibratedPredictorModel = ffModel }).PredictorModel; 1535new Calibrate.NoArgumentsInput() { Data = splitOutput.TestData[0], UncalibratedPredictorModel = calibratedFfModel }).PredictorModel; 1588Data = splitOutput.TestData[nModels], 1854Data = splitOutput.TestData[nModels], 2200Data = splitOutput.TestData[0], 4449Data = dataView, 4454Data = cat.OutputData, 4475Data = dataView, 4537Data = dataView,
Microsoft.ML.Tests (1)
OnnxConversionTest.cs (1)
1609var args = new OptionalColumnTransform.Arguments { Columns = new[] { "Label" }, Data = dataView };
167 references to Data
Microsoft.ML.Data (39)
EntryPoints\SchemaManipulation.cs (6)
25var xf = ColumnConcatenatingTransformer.Create(env, input, input.Data); 26return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 37var xf = new ColumnSelectingTransformer(env, input.KeepColumns, input.DropColumns, input.KeepHidden, input.IgnoreMissing).Transform(input.Data); 38return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 48var xf = ColumnCopyingTransformer.Create(env, input, input.Data); 49return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
EntryPoints\SelectRows.cs (8)
26var xf = new RangeFilter(host, input, input.Data); 27return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 38var xf = SkipTakeFilter.Create(host, input, input.Data); 39return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 50var xf = SkipTakeFilter.Create(host, input, input.Data); 51return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 62var xf = SkipTakeFilter.Create(host, input, input.Data); 63return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
Prediction\Calibrator.cs (2)
2215input.UncalibratedPredictorModel.PrepareData(host, input.Data, out data, out predictor); 2229return new TOut() { PredictorModel = new PredictorModelImpl(host, data, input.Data, calibratedPredictor) };
Transforms\BootstrapSamplingTransformer.cs (2)
260var view = new BootstrapSamplingTransformer(h, input, input.Data); 263Model = new TransformModelImpl(h, view, input.Data),
Transforms\FeatureContributionCalculationTransformer.cs (2)
378var outData = new FeatureContributionCalculatingTransformer(host, predictor, options.FeatureColumn, options.Top, options.Bottom, options.Normalize).Transform(options.Data); 380return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, outData, options.Data), OutputData = outData };
Transforms\GenerateNumberTransform.cs (2)
489var xf = new GenerateNumberTransform(h, input, input.Data); 492Model = new TransformModelImpl(h, xf, input.Data),
Transforms\LabelIndicatorTransform.cs (2)
238var xf = Create(host, input, input.Data); 239return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
Transforms\NopTransform.cs (2)
152var xf = CreateIfNeeded(host, input.Data); 153return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
Transforms\NormalizeUtils.cs (11)
87var xf = NormalizeTransform.Create(host, input, input.Data); 88return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 99var xf = NormalizeTransform.Create(host, input, input.Data); 100return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 111var xf = NormalizeTransform.Create(host, input, input.Data); 112return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 123var xf = NormalizeTransform.Create(host, input, input.Data); 124return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 135var xf = NormalizeTransform.Create(host, input, input.Data); 136return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 145var schema = input.Data.Schema;
Transforms\TypeConverting.cs (2)
43var view = TypeConvertingTransformer.Create(h, input, input.Data); 47Model = new TransformModelImpl(h, view, input.Data),
Microsoft.ML.EntryPoints (34)
FeatureCombiner.cs (17)
54var viewTrain = input.Data; 83return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, viewTrain, input.Data), OutputData = viewTrain }; 235var labelCol = input.Data.Schema.GetColumnOrNull(input.LabelColumn); 242var nop = NopTransform.CreateIfNeeded(env, input.Data); 243return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, nop, input.Data), OutputData = nop }; 259var xf = ValueToKeyMappingTransformer.Create(host, args, input.Data); 260return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 271var predictedLabelCol = input.Data.Schema.GetColumnOrNull(input.PredictedLabelColumn); 277var nop = NopTransform.CreateIfNeeded(env, input.Data); 278return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, nop, input.Data), OutputData = nop }; 281var xf = new KeyToValueMappingTransformer(host, input.PredictedLabelColumn).Transform(input.Data); 282return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 293var labelCol = input.Data.Schema.GetColumnOrNull(input.LabelColumn); 299var nop = NopTransform.CreateIfNeeded(env, input.Data); 300return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, nop, input.Data), OutputData = nop }; 303var xf = new TypeConvertingTransformer(host, new TypeConvertingEstimator.ColumnOptions(input.LabelColumn, DataKind.Single, input.LabelColumn)).Transform(input.Data); 304return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
ModelOperations.cs (1)
128return new ApplyTransformModelOutput() { OutputData = input.TransformModel.Apply(env, input.Data) };
OneVersusAllMacro.cs (2)
62var paramBinding = new SimpleParameterBinding(nameof(labelIndicatorArgs.Data)); 63inputBindingMap.Add(nameof(labelIndicatorArgs.Data), new List<ParameterBinding>() { paramBinding });
PermutationFeatureImportance.cs (1)
29input.PredictorModel.PrepareData(env, input.Data, out RoleMappedData roleMappedData, out IPredictor predictor);
ScoreColumnSelector.cs (13)
29var view = input.Data; 40var newView = new ChooseColumnsByIndexTransform(env, new ChooseColumnsByIndexTransform.Options() { Indices = indices.ToArray() }, input.Data); 41return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, newView, input.Data), OutputData = newView }; 83var maxScoreId = input.Data.Schema.GetMaxAnnotationKind(out colMax, AnnotationUtils.Kinds.ScoreColumnSetId); 85for (int i = 0; i < input.Data.Schema.Count; i++) 87if (input.Data.Schema[i].IsHidden) 89if (!ShouldAddColumn(input.Data.Schema, i, null, maxScoreId)) 93if (input.Data.Schema.TryGetAnnotation(TextDataViewType.Instance, AnnotationUtils.Kinds.ScoreValueKind, i, 99var source = input.Data.Schema[i].Name; 104var copyColumn = new ColumnCopyingTransformer(env, copyCols.ToArray()).Transform(input.Data); 106return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, dropColumn, input.Data), OutputData = dropColumn }; 110var newView = NopTransform.CreateIfNeeded(env, input.Data); 111return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, newView, input.Data), OutputData = newView };
Microsoft.ML.FastTree (2)
TreeEnsembleFeaturizer.cs (2)
830var xf = TreeEnsembleFeaturizerTransform.CreateForEntryPoint(env, input, input.Data); 831return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
Microsoft.ML.ImageAnalytics (10)
EntryPoints\ImageAnalytics.cs (10)
21var xf = ImageLoadingTransformer.Create(h, input, input.Data); 24Model = new TransformModelImpl(h, xf, input.Data), 34var xf = ImageResizingTransformer.Create(h, input, input.Data); 37Model = new TransformModelImpl(h, xf, input.Data), 47var xf = ImagePixelExtractingTransformer.Create(h, input, input.Data); 50Model = new TransformModelImpl(h, xf, input.Data), 60var xf = ImageGrayscalingTransformer.Create(h, input, input.Data); 63Model = new TransformModelImpl(h, xf, input.Data), 73var xf = VectorToImageConvertingTransformer.Create(h, input, input.Data); 76Model = new TransformModelImpl(h, xf, input.Data),
Microsoft.ML.PCA (2)
PcaTransformer.cs (2)
685var view = PrincipalComponentAnalysisTransformer.Create(h, input, input.Data); 688Model = new TransformModelImpl(h, view, input.Data),
Microsoft.ML.TensorFlow (2)
TensorflowTransform.cs (2)
803var view = Create(h, input, input.Data); 806Model = new TransformModelImpl(h, view, input.Data),
Microsoft.ML.TimeSeries (23)
TimeSeriesProcessing.cs (23)
22var xf = new ExponentialAverageTransform(h, input, input.Data); 25Model = new TransformModelImpl(h, xf, input.Data), 36var view = new IidChangePointEstimator(h, options).Fit(options.Data).Transform(options.Data); 39Model = new TransformModelImpl(h, view, options.Data), 50var view = new IidSpikeEstimator(h, options).Fit(options.Data).Transform(options.Data); 53Model = new TransformModelImpl(h, view, options.Data), 64var view = new PercentileThresholdTransform(h, input, input.Data); 67Model = new TransformModelImpl(h, view, input.Data), 78var view = new PValueTransform(h, input, input.Data); 81Model = new TransformModelImpl(h, view, input.Data), 92var view = new SlidingWindowTransform(h, input, input.Data); 95Model = new TransformModelImpl(h, view, input.Data), 106var view = new SsaChangePointEstimator(h, options).Fit(options.Data).Transform(options.Data); 109Model = new TransformModelImpl(h, view, options.Data), 120var view = new SsaSpikeEstimator(h, options).Fit(options.Data).Transform(options.Data); 123Model = new TransformModelImpl(h, view, options.Data), 134var view = new SsaForecastingEstimator(h, options).Fit(options.Data).Transform(options.Data); 137Model = new TransformModelImpl(h, view, options.Data),
Microsoft.ML.Transforms (55)
Dracula\CountTableTransformer.cs (2)
744var view = CountTableTransformer.Create(h, input, input.Data); 747Model = new TransformModelImpl(h, view, input.Data),
Dracula\CountTargetEncodingTransformer.cs (2)
548var view = CountTargetEncodingEstimator.Create(h, input, input.Data); 551Model = new TransformModelImpl(h, view, input.Data),
EntryPoints\SelectFeatures.cs (4)
26var xf = CountFeatureSelectingEstimator.Create(host, input, input.Data); 27return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 41var xf = MutualInformationFeatureSelectingEstimator.Create(host, input, input.Data); 42return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
EntryPoints\TextAnalytics.cs (17)
27var xf = TextFeaturizingEstimator.Create(h, input, input.Data); 30Model = new TransformModelImpl(h, xf, input.Data), 42var xf = ML.Transforms.Text.WordTokenizingTransformer.Create(h, input, input.Data); 45Model = new TransformModelImpl(h, xf, input.Data), 57var xf = NgramExtractingTransformer.Create(h, input, input.Data); 60Model = new TransformModelImpl(h, xf, input.Data), 72var xf = ValueToKeyMappingTransformer.Create(h, input, input.Data); 75Model = new TransformModelImpl(h, xf, input.Data), 87var view = SentimentAnalyzingTransformer.Create(h, input, input.Data); 90Model = new TransformModelImpl(h, view, input.Data), 105var view = TokenizingByCharactersTransformer.Create(h, input, input.Data); 108Model = new TransformModelImpl(h, view, input.Data), 125var view = est.Fit(input.Data).Transform(input.Data); 129Model = new TransformModelImpl(h, view, input.Data), 144var view = WordEmbeddingTransformer.Create(h, input, input.Data); 147Model = new TransformModelImpl(h, view, input.Data),
GcnTransform.cs (4)
742var xf = LpNormNormalizingTransformer.Create(h, input, input.Data); 745Model = new TransformModelImpl(h, xf, input.Data), 757var xf = LpNormNormalizingTransformer.Create(h, input, input.Data); 760Model = new TransformModelImpl(h, xf, input.Data),
GroupTransform.cs (2)
678var view = new GroupTransform(h, input, input.Data); 681Model = new TransformModelImpl(h, view, input.Data),
HashJoiningTransform.cs (2)
672var view = new HashJoiningTransform(h, input, input.Data); 675Model = new TransformModelImpl(h, view, input.Data),
NAHandling.cs (10)
25var xf = MissingValueDroppingTransformer.Create(h, input, input.Data); 28Model = new TransformModelImpl(h, xf, input.Data), 40var xf = new NAFilter(h, input, input.Data); 43Model = new TransformModelImpl(h, xf, input.Data), 55var xf = MissingValueHandlingTransformer.Create(h, input, input.Data); 58Model = new TransformModelImpl(h, xf, input.Data), 70var xf = new MissingValueIndicatorTransformer(h, input).Transform(input.Data); 73Model = new TransformModelImpl(h, xf, input.Data), 85var xf = MissingValueReplacingTransformer.Create(h, input, input.Data); 88Model = new TransformModelImpl(h, xf, input.Data),
OneHotEncoding.cs (8)
360var xf = OneHotEncodingTransformer.Create(host, input, input.Data); 361return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 374var xf = OneHotHashEncodingTransformer.Create(host, input, input.Data); 375return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 388var xf = ValueToKeyMappingTransformer.Create(host, input, input.Data); 389return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf }; 402var xf = KeyToValueMappingTransformer.Create(host, input, input.Data); 403return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
OptionalColumnTransform.cs (2)
590var xf = new OptionalColumnTransform(h, input, input.Data); 593Model = new TransformModelImpl(h, xf, input.Data),
UngroupTransform.cs (2)
687var view = new UngroupTransform(h, input, input.Data); 690Model = new TransformModelImpl(h, view, input.Data),