Implemented interface member:
method
Transform
Microsoft.ML.ITransformer.Transform(Microsoft.ML.IDataView)
312 references to Transform
Microsoft.ML.AutoML.Tests (2)
PurposeInferenceTests.cs (1)
34data = normalizer.Fit(data).Transform(data);
UserInputValidationTests.cs (1)
360trainingData = convertLabelToBoolEstimator.Fit(trainingData).Transform(trainingData);
Microsoft.ML.Core.Tests (7)
UnitTests\TestEntryPoints.cs (7)
440).Transform(individualScores[i]); 1554}).Fit(data).Transform(data); 1556data = new ColumnConcatenatingTransformer(Env, "Features", new[] { "Features1", "Features2" }).Transform(data); 1557data = new ValueToKeyMappingEstimator(Env, "Label", "Label", keyOrdinality: ValueToKeyMappingEstimator.KeyOrdinality.ByValue).Fit(data).Transform(data); 2011}).Fit(data).Transform(data); 2012data = new ColumnConcatenatingTransformer(Env, "Features", new[] { "Features1", "Features2" }).Transform(data); 2155data = new ColumnConcatenatingTransformer(Env, new ColumnConcatenatingTransformer.ColumnOptions("Features", i % 2 == 0 ? new[] { "Features", "Cat" } : new[] { "Cat", "Features" })).Transform(data);
Microsoft.ML.Data (17)
DataLoadSave\DataOperationsCatalog.cs (4)
566data = new TypeConvertingTransformer(env, splitColumnName, DataKind.Int64, samplingKeyColumn).Transform(data); 574data = new HashingEstimator(env, columnOptions).Fit(data).Transform(data); 580data = new ColumnCopyingEstimator(env, (splitColumnName, samplingKeyColumn)).Fit(data).Transform(data); 584data = new NormalizingEstimator(env, new NormalizingEstimator.MinMaxColumnOptions(splitColumnName, samplingKeyColumn, ensureZeroUntouched: false)).Fit(data).Transform(data);
Evaluators\AnomalyDetectionEvaluator.cs (1)
772overall = new ColumnCopyingTransformer(Host, cols).Transform(overall);
Evaluators\BinaryClassifierEvaluator.cs (1)
1389fold = new ColumnCopyingTransformer(Host, cols).Transform(fold);
Evaluators\ClusteringEvaluator.cs (2)
842perInst = new SlotsDroppingTransformer(Host, ClusteringPerInstanceEvaluator.SortedClusters, min: _numTopClusters).Transform(perInst); 849perInst = new SlotsDroppingTransformer(Host, ClusteringPerInstanceEvaluator.SortedClusterScores, min: _numTopClusters).Transform(perInst);
Evaluators\EvaluatorUtils.cs (2)
911idv = new KeyToValueMappingTransformer(env, keyCol).Transform(idv); 1077overall = new KeyToValueMappingTransformer(env, MetricKinds.ColumnNames.StratCol).Transform(overall);
Evaluators\MamlEvaluator.cs (1)
264idv = new ColumnCopyingTransformer(Host, cols.ToArray()).Transform(idv);
Evaluators\MulticlassClassificationEvaluator.cs (4)
1001input = new ColumnCopyingTransformer(Host, (string.Format(TopKAccuracyFormat, _outputTopKAcc), MulticlassClassificationEvaluator.TopKAccuracy)).Transform(input); 1007input = new ColumnCopyingTransformer(Host, (TopKAccuracyFormat, MulticlassClassificationEvaluator.AllTopKAccuracy)).Transform(input); 1074perInst = new SlotsDroppingTransformer(Host, MulticlassPerInstanceEvaluator.SortedClasses, min: _numTopClasses).Transform(perInst); 1082perInst = new SlotsDroppingTransformer(Host, MulticlassPerInstanceEvaluator.SortedScores, min: _numTopClasses).Transform(perInst);
Transforms\FeatureContributionCalculationTransformer.cs (1)
378var outData = new FeatureContributionCalculatingTransformer(host, predictor, options.FeatureColumn, options.Top, options.Bottom, options.Normalize).Transform(options.Data);
Transforms\ValueMapping.cs (1)
1003var view = new ColumnCopyingTransformer(host, cols.ToArray()).Transform(lookup);
Microsoft.ML.EntryPoints (6)
FeatureCombiner.cs (5)
99.Transform(viewTrain); 110viewTrain = new KeyToVectorMappingTransformer(host, ktv.Select(c => new KeyToVectorMappingEstimator.ColumnOptions(c.Name, c.Name)).ToArray()).Transform(viewTrain); 148viewTrain = new TypeConvertingTransformer(env, cvt.ToArray()).Transform(viewTrain); 281var xf = new KeyToValueMappingTransformer(host, input.PredictedLabelColumn).Transform(input.Data); 303var xf = new TypeConvertingTransformer(host, new TypeConvertingEstimator.ColumnOptions(input.LabelColumn, DataKind.Single, input.LabelColumn)).Transform(input.Data);
ScoreColumnSelector.cs (1)
104var copyColumn = new ColumnCopyingTransformer(env, copyCols.ToArray()).Transform(input.Data);
Microsoft.ML.Fairlearn (1)
Metrics\FairlearnMetricCatalog.cs (1)
69var data = convertToString.Fit(_eval).Transform(_eval);
Microsoft.ML.FastTree (1)
FastTree.cs (1)
1355data = new TypeConvertingTransformer(Host, new TypeConvertingEstimator.ColumnOptions(groupName, DataKind.UInt64, groupName)).Transform(data);
Microsoft.ML.IntegrationTests (5)
Explainability.cs (4)
186var outputData = featureContributions.Fit(scoredData).Transform(scoredData); 223var outputData = featureContributions.Fit(scoredData).Transform(scoredData); 260var outputData = featureContributions.Fit(scoredData).Transform(scoredData); 298var outputData = featureContributions.Fit(scoredData).Transform(scoredData);
ONNX.cs (1)
112mlContext.Transforms.CopyColumns("Score", "Score").Fit(onnxModel.Transform(data)));
Microsoft.ML.OnnxConverter (2)
SaveOnnxCommand.cs (2)
367var outputData = new KeyToValueMappingTransformer(Host, DefaultColumnNames.PredictedLabel).Transform(scorePipe); 393var outputData = new KeyToValueMappingTransformer(Host, name).Transform(end);
Microsoft.ML.OnnxTransformerTest (12)
OnnxTransformTests.cs (12)
198var result = transformer.Transform(dataView); 371var onnx = onnxTransformer.Transform(dataView); 438var onnx = onnxTransformer.Transform(dataView); 478var onnx = onnxTransformer.Transform(dataView); 504onnx = onnxTransformer.Transform(dataView); 538var transformedValues = onnxTransformer.Transform(idv); 564var transformedValues = onnxTransformer.Transform(idv); 696var transformedDataView = onnxTransformer.Transform(dataView); 749var transformedDataView = onnxTransformer.Transform(dataView); 913transformedDataViews[0] = onnxTransformer[0].Transform(dataView); 920transformedDataViews[1] = onnxTransformer[1].Transform(dataView); 925transformedDataViews[2] = onnxTransformer[2].Transform(dataView);
Microsoft.ML.Samples (49)
Dynamic\DataOperations\FilterRowsByKeyColumnFraction.cs (1)
37var transformedData = pipeline.Fit(data).Transform(data);
Dynamic\ModelOperations\OnnxConversion.cs (1)
90var onnxOutput = onnxTransformer.Transform(trainTestOriginalData.TestSet);
Dynamic\SimpleDataViewImplementation.cs (1)
37"TokenizedText", "Text").Fit(dataView).Transform(dataView);
Dynamic\TensorFlow\ImageClassification.cs (1)
49var transformedValues = estimator.Transform(idv);
Dynamic\Trainers\BinaryClassification\Calibrators\FixedPlatt.cs (1)
63var finalData = calibratorTransformer.Transform(scoredData);
Dynamic\Trainers\BinaryClassification\Calibrators\Isotonic.cs (1)
63var finalData = calibratorTransformer.Transform(scoredData);
Dynamic\Trainers\BinaryClassification\Calibrators\Naive.cs (1)
63var finalData = calibratorTransformer.Transform(scoredData);
Dynamic\Trainers\BinaryClassification\Calibrators\Platt.cs (1)
63var finalData = calibratorTransformer.Transform(scoredData);
Dynamic\Transforms\ApplyOnnxModel.cs (1)
30var transformedValues = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\ApproximatedKernelMap.cs (1)
39var transformedData = tansformer.Transform(data);
Dynamic\Transforms\Conversion\ConvertType.cs (1)
28var transformedData = transformer.Transform(data);
Dynamic\Transforms\Conversion\ConvertTypeMultiColumn.cs (1)
54var transformedData = transformer.Transform(data);
Dynamic\Transforms\Conversion\HashWithOptions.cs (1)
64var transformedData = transformer.Transform(data);
Dynamic\Transforms\Conversion\MapKeyToBinaryVector.cs (1)
39IDataView transformedData = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\Conversion\MapKeyToValueMultiColumn.cs (1)
54var transformedData = newPipeline.Fit(dataWithPredictions).Transform(
Dynamic\Transforms\Conversion\MapKeyToVectorMultiColumn.cs (1)
40IDataView transformedData = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\Conversion\MapValueIdvLookup.cs (1)
51IDataView transformedData = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\Conversion\MapValueToArray.cs (1)
48IDataView transformedData = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\Conversion\MapValueToKeyMultiColumn.cs (2)
38IDataView transformedData = pipeline.Fit(data).Transform(data); 89transformedData = pipelineWithLookupMap.Fit(data).Transform(data);
Dynamic\Transforms\CopyColumns.cs (1)
52var transformedData = pipeline.Fit(dataview).Transform(dataview);
Dynamic\Transforms\ImageAnalytics\ConvertToGrayScaleInMemory.cs (1)
30var transformedData = model.Transform(data);
Dynamic\Transforms\ImageAnalytics\LoadImages.cs (1)
47var transformedData = pipeline.Fit(data).Transform(data);
Dynamic\Transforms\IndicateMissingValues.cs (1)
36var transformedData = tansformer.Transform(data);
Dynamic\Transforms\IndicateMissingValuesMultiColumn.cs (1)
44var transformedData = tansformer.Transform(data);
Dynamic\Transforms\NormalizeBinning.cs (2)
46var transformedData = normalizeTransform.Transform(data); 48var fixZeroData = normalizeFixZeroTransform.Transform(data);
Dynamic\Transforms\NormalizeBinningMulticolumn.cs (1)
47var transformedData = normalizeTransform.Transform(data);
Dynamic\Transforms\NormalizeGlobalContrast.cs (1)
34var transformedData = tansformer.Transform(data);
Dynamic\Transforms\NormalizeLogMeanVariance.cs (2)
44var transformedData = normalizeTransform.Transform(data); 46var noCdfData = normalizeNoCdfTransform.Transform(data);
Dynamic\Transforms\NormalizeLogMeanVarianceFixZero.cs (2)
37var transformedData = normalizeTransform.Transform(data); 39var noCdfData = normalizeNoCdfTransform.Transform(data);
Dynamic\Transforms\NormalizeLpNorm.cs (1)
35var transformedData = tansformer.Transform(data);
Dynamic\Transforms\NormalizeMeanVariance.cs (2)
43var transformedData = normalizeTransform.Transform(data); 45var noCdfData = normalizeNoCdfTransform.Transform(data);
Dynamic\Transforms\NormalizeMinMax.cs (2)
42var transformedData = normalizeTransform.Transform(data); 44var fixZeroData = normalizeFixZeroTransform.Transform(data);
Dynamic\Transforms\NormalizeMinMaxMulticolumn.cs (2)
66var transformedData = normalizeTransform.Transform(data); 68var fixZeroData = normalizeFixZeroTransform.Transform(data);
Dynamic\Transforms\NormalizeSupervisedBinning.cs (3)
40.Transform(data); 60var transformedData = normalizeTransform.Transform(data); 62var fixZeroData = normalizeFixZeroTransform.Transform(data);
Dynamic\Transforms\Projection\VectorWhiten.cs (1)
53var transformedData = whiteningPipeline.Fit(trainData).Transform(
Dynamic\Transforms\Projection\VectorWhitenWithOptions.cs (1)
53var transformedData = whiteningPipeline.Fit(trainData).Transform(
Dynamic\Transforms\ReplaceMissingValues.cs (2)
40var defaultTransformedData = defaultTransformer.Transform(data); 71var meanTransformedData = meanTransformer.Transform(data);
Dynamic\Transforms\ReplaceMissingValuesMultiColumn.cs (2)
46var defaultTransformedData = defaultTransformer.Transform(data); 82var meanTransformedData = meanTransformer.Transform(data);
Microsoft.ML.Samples.GPU (1)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\ImageClassification.cs (1)
49var transformedValues = estimator.Transform(idv);
Microsoft.ML.Samples.OneDal (6)
Program.cs (6)
68var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); 69var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); 100var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); 101var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); 132var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); 133var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData);
Microsoft.ML.TensorFlow.Tests (27)
TensorFlowEstimatorTests.cs (1)
126var result = transformer.Transform(dataView);
TensorflowTests.cs (26)
201var idv = trans.Transform(loader); 293var idv = trans.Transform(loader); 415var idv = trans.Transform(loader); 507var cropped = new ImageResizingTransformer(_mlContext, "ImageCropped", 32, 32, "ImageReal").Transform(images); 509var pixels = _mlContext.Transforms.ExtractPixels("image_tensor", "ImageCropped", outputAsFloatArray: false).Fit(cropped).Transform(cropped); 511var tf = tfModel.ScoreTensorFlowModel(new[] { "detection_boxes", "detection_scores", "num_detections", "detection_classes" }, new[] { "image_tensor" }).Fit(pixels).Transform(pixels); 553var images = _mlContext.Transforms.LoadImages("ImageReal", "ImagePath", imageFolder).Fit(data).Transform(data); 554var cropped = _mlContext.Transforms.ResizeImages("ImageCropped", 224, 224, "ImageReal").Fit(images).Transform(images); 555var pixels = _mlContext.Transforms.ExtractPixels(inputName, "ImageCropped", interleavePixelColors: true).Fit(cropped).Transform(cropped); 557var tf = tfModel.ScoreTensorFlowModel(outputName, inputName, true).Fit(pixels).Transform(pixels); 1028IDataView idv = trans.Transform(pixels); 1076var images = _mlContext.Transforms.LoadImages("ImageReal", imageFolder, "ImagePath").Fit(data).Transform(data); 1077var cropped = _mlContext.Transforms.ResizeImages("ImageCropped", imageWidth, imageHeight, "ImageReal").Fit(images).Transform(images); 1078var pixels = _mlContext.Transforms.ExtractPixels("Input", "ImageCropped", interleavePixelColors: true).Fit(cropped).Transform(cropped); 1080IDataView idv = trans.Transform(pixels); 1230var images = new ImageLoadingTransformer(_mlContext, imageFolder, ("ImageReal", "ImagePath")).Transform(data); 1231var cropped = new ImageResizingTransformer(_mlContext, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 1232var pixels = new ImagePixelExtractingTransformer(_mlContext, "Input", "ImageCropped").Transform(cropped); 1238IDataView trans = model.ScoreTensorFlowModel("Output", "Input").Fit(pixels).Transform(pixels); 1409.Transform(shuffledFullImagesDataset); 1484.Transform(shuffledFullImagesDataset); 1494.Transform(testDataset); 1616.Transform(shuffledFullImagesDataset); 1626.Transform(testDataset); 1771.Transform(shuffledFullImagesDataset); 1783.Transform(testDataset);
Microsoft.ML.TestFramework (4)
DataPipe\TestDataPipe.cs (4)
1116var hashTransform = new HashingTransformer(Env, new HashingEstimator.ColumnOptions("F1", "F1", 5, 42)).Transform(srcView); 1147var hashTransform = new HashingTransformer(Env, new HashingEstimator.ColumnOptions("F1V", "F1V", 5, 42)).Transform(srcView); 1553var transformedData = ldaTransformer.Transform(srcView); 1606var lda = ML.Transforms.Text.LatentDirichletAllocation("Zeros").Fit(srcView).Transform(srcView);
Microsoft.ML.Tests (157)
ImagesTests.cs (32)
150var cropped = new ImageResizingTransformer(env, "ImageCropped", 100, 100, "ImageReal", ImageResizingEstimator.ResizingKind.IsoPad).Transform(images); 188var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 190IDataView grey = new ImageGrayscalingTransformer(env, ("ImageGrey", "ImageCropped")).Transform(cropped); 245var transformedData = model.Transform(data); 346var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 348var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All, interleavePixelColors: true, scaleImage: 2f / 19, offsetImage: 30).Transform(cropped); 350ImagePixelExtractingEstimator.ColorBits.All, interleavedColors: true, scaleImage: 19 / 2f, offsetImage: -30).Transform(pixels); 421var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 422var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", interleavePixelColors: true, scaleImage: 2f / 19, offsetImage: 30).Transform(cropped); 425interleavedColors: true, scaleImage: 19 / 2f, offsetImage: -30).Transform(pixels); 497var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 499var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All, orderOfExtraction: ImagePixelExtractingEstimator.ColorsOrder.ABRG).Transform(cropped); 501ImagePixelExtractingEstimator.ColorBits.All, orderOfColors: ImagePixelExtractingEstimator.ColorsOrder.ABRG).Transform(pixels); 572var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 573var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All, scaleImage: 2f / 19, offsetImage: 30).Transform(cropped); 576ImagePixelExtractingEstimator.ColorBits.All, scaleImage: 19 / 2f, offsetImage: -30).Transform(pixels); 647var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 648var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", scaleImage: 2f / 19, offsetImage: 30).Transform(cropped); 651scaleImage: 19 / 2f, offsetImage: -30).Transform(pixels); 722var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 724var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All, interleavePixelColors: true).Transform(cropped); 727ImagePixelExtractingEstimator.ColorBits.All, interleavedColors: true).Transform(pixels); 798var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 800var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", interleavePixelColors: true).Transform(cropped); 802IDataView backToImages = new VectorToImageConvertingTransformer(env, "ImageRestored", imageHeight, imageWidth, "ImagePixels", interleavedColors: true).Transform(pixels); 873var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 875var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All).Transform(cropped); 878ImagePixelExtractingEstimator.ColorBits.All).Transform(pixels); 949var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images); 950var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped").Transform(cropped); 952IDataView backToImages = new VectorToImageConvertingTransformer(env, "ImageRestored", imageHeight, imageWidth, "ImagePixels").Transform(pixels); 1187var resizedDV = model.Transform(dataView);
OnnxConversionTest.cs (10)
828var onnxResult = onnxTransformer.Transform(data); 977var transformedData = model.Transform(dataView); 990var onnxResult = onnxTransformer.Transform(dataView); 1517var onnxResult = onnxTransformer.Transform(dataView); 1634var onnxResult = onnxTransformer.Transform(dataView); 1747var loadedData = loadedModel.Transform(dataView).Preview(1); 1777var mappedData = pipeline1.Fit(originalData).Transform(originalData); 1808var onnxResult = onnxTransformer.Transform(reloadedData); 1821var onnxResult2 = onnxTransformer2.Transform(originalData); 2256var onnxResult = onnxTransformer.Transform(dataView);
RangeFilterTests.cs (1)
31data = ML.Transforms.Conversion.Hash("Key", "Strings", numberOfBits: 20).Fit(data).Transform(data);
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (2)
51var transformedData = pipeline.Fit(data).Transform(data); 474var featureContributionData = featureContributionCalculation.Fit(transfomedData).Transform(transfomedData);
Scenarios\Api\TestApi.cs (2)
180xf = mlContext.Transforms.Conversion.ConvertType("Label", outputKind: DataKind.Boolean).Fit(xf).Transform(xf); 481var inputWithKey = mlContext.Transforms.Conversion.MapValueToKey("KeyStrat", "TextStrat").Fit(input).Transform(input);
Scenarios\OvaTest.cs (4)
33.Fit(textData).Transform(textData)); 67.Fit(textData).Transform(textData)); 103.Fit(textData).Transform(textData)); 137.Fit(textData).Transform(textData));
TermEstimatorTests.cs (3)
87DataSaverUtils.SaveDataView(ch, saver, pipe.Fit(data).Transform(data), fs, keepHidden: true); 123var result = transformer.Transform(dataView); 143var result = termTransformer.Transform(dataView);
TrainerEstimators\CalibratorEstimators.cs (5)
184calibratorPlattTransformer.Transform(dataArray[i]); 190calibratorFixedPlattTransformer.Transform(dataArray[i]); 196calibratorNaiveTransformer.Transform(dataArray[i]); 202calibratorIsotonicTransformer.Transform(dataArray[i]); 267var newCalibratedData = newPlattCalibratorTransformer.Transform(calibratorTestData.ScoredData).Preview();
TrainerEstimators\OneDalEstimators.cs (2)
59var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); 60var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData);
TrainerEstimators\OnlineLinearTests.cs (2)
27var regressionTrainData = regressionPipe.Fit(regressionData).Transform(regressionData); 41var binaryTrainData = binaryPipe.Fit(binaryData).Transform(binaryData);
TrainerEstimators\SdcaTests.cs (2)
29.Fit(data).Transform(data); 43var mcData = ML.Transforms.Conversion.MapValueToKey("Label").Fit(data).Transform(data);
Transformers\CharTokenizeTests.cs (1)
63var result = pipe.Fit(dataView).Transform(dataView);
Transformers\ConcatTests.cs (1)
127data = concater.Transform(data);
Transformers\ConvertTests.cs (5)
187var actualConvertedValues = allTypesPipe.Fit(allTypesDataView).Transform(allTypesDataView); 262var convertedValues = allInputTypesDataPipe.Fit(allInputTypesDataView).Transform(allInputTypesDataView); 293var output = pipe.Fit(dataView).Transform(dataView); 323var result = pipe.Fit(dataView).Transform(dataView); 402var outDataNew = modelNew.Transform(dataView);
Transformers\CopyColumnEstimatorTests.cs (4)
52var result = transformer.Transform(dataView); 85var result = transformer.Transform(xyDataView); 119var result = transformer.Transform(dataView); 142var result = transformer.Transform(term);
Transformers\CustomMappingTests.cs (1)
106var badData1 = ML.Transforms.CopyColumns("Text1", "Float1").Fit(data).Transform(data);
Transformers\FeatureSelectionTests.cs (1)
87var savedData = ML.Data.TakeRows(trans.Transform(data), 4);
Transformers\HashTests.cs (2)
78var result = pipe.Fit(dataView).Transform(dataView); 119var result = pipe.Fit(dataView).Transform(dataView);
Transformers\KeyToBinaryVectorEstimatorTest.cs (6)
52}).Fit(dataView).Transform(dataView); 71.Fit(data).Transform(data); 98dataView = termTransformer.Transform(dataView); 107var result = pipe.Fit(dataView).Transform(dataView); 154dataView = transformer.Transform(dataView); 156var result = pipe.Fit(dataView).Transform(dataView);
Transformers\KeyToValueTests.cs (5)
41new ValueToKeyMappingEstimator.ColumnOptions("B", "VectorString") }).Fit(data).Transform(data); 43var badData1 = new ColumnCopyingTransformer(Env, ("A", "BareKey")).Transform(data); 44var badData2 = new ColumnCopyingTransformer(Env, ("B", "VectorString")).Transform(data); 55IDataView savedData = est.Fit(data).Transform(data); 76.Fit(data).Transform(data);
Transformers\KeyToVectorEstimatorTests.cs (6)
59}).Fit(dataView).Transform(dataView); 81.Fit(data).Transform(data); 112dataView = termTransformer.Transform(dataView); 125var result = pipe.Fit(dataView).Transform(dataView); 213dataView = transformer.Transform(dataView); 218var result = pipe.Fit(dataView).Transform(dataView);
Transformers\NAIndicatorTests.cs (2)
81var result = pipe.Fit(dataView).Transform(dataView); 117var savedData = ML.Data.TakeRows(est.Fit(data).Transform(data), 4);
Transformers\NAReplaceTests.cs (2)
76var transformedDataview = pipe.Fit(dataView).Transform(dataView); 176var result = pipe.Fit(dataView).Transform(dataView);
Transformers\NormalizerTests.cs (41)
78var badData1 = new ColumnCopyingTransformer(Env, ("float1", "int1")).Transform(data); 79var badData2 = new ColumnCopyingTransformer(Env, ("float4", "float0")).Transform(data); 90var transformedData = est.Fit(data).Transform(data); 487var data1 = est1.Fit(data).Transform(data); 488var data2 = est2.Fit(data).Transform(data); 489var data3 = est3.Fit(data).Transform(data); 490var data4 = est4.Fit(data).Transform(data); 491var data5 = est5.Fit(data).Transform(data); 507var data6 = est6.Fit(data).Transform(data); 508var data7 = est7.Fit(data).Transform(data); 509var data8 = est8.Fit(data).Transform(data); 520var data9 = est9.Fit(data).Transform(data); 521var data10 = est10.Fit(data).Transform(data); 522var data11 = est11.Fit(data).Transform(data); 533var data12 = est12.Fit(data).Transform(data); 534var data13 = est13.Fit(data).Transform(data); 535var data14 = est14.Fit(data).Transform(data); 546var data15 = est15.Fit(data).Transform(data); 547var data16 = est16.Fit(data).Transform(data); 548var data17 = est17.Fit(data).Transform(data); 559var data18 = est18.Fit(data).Transform(data); 560var data19 = est19.Fit(data).Transform(data); 561var data20 = est20.Fit(data).Transform(data); 600var data1 = est1.Fit(data).Transform(data); 601var data2 = est2.Fit(data).Transform(data); 602var data3 = est3.Fit(data).Transform(data); 603var data4 = est4.Fit(data).Transform(data); 604var data5 = est5.Fit(data).Transform(data); 605var data6 = est6.Fit(data).Transform(data); 606var data7 = est7.Fit(data).Transform(data); 607var data8 = est8.Fit(data).Transform(data); 608var data9 = est9.Fit(data).Transform(data); 609var data10 = est10.Fit(data).Transform(data); 739var result = pipe.Fit(dataView).Transform(dataView); 800var result = pipe.Fit(dataView).Transform(dataView); 860var result = pipe.Fit(dataView).Transform(dataView); 915var transformedData = normalizeTransform.Transform(data); 917var noCdfData = normalizeNoCdfTransform.Transform(data); 956var transformedData = normalizeTransform.Transform(data); 958var noCdfData = normalizeNoCdfTransform.Transform(data); 1056var transformedData = model.Transform(data);
Transformers\PcaTests.cs (1)
60var savedData = ML.Data.TakeRows(est.Fit(data).Transform(data), 4);
Transformers\RffTests.cs (2)
77var savedData = ML.Data.TakeRows(est.Fit(data).Transform(data), 4); 104var result = est.Fit(dataView).Transform(dataView);
Transformers\TextFeaturizerTests.cs (1)
495var outdata = ML.Data.TakeRows(est.Fit(data).Transform(data), 4);
Transformers\TextNormalizer.cs (1)
84var result = pipe.Fit(dataView).Transform(dataView);
Transformers\ValueMappingTests.cs (6)
69var result = t.Transform(dataView); 198var result = t.Transform(dataView); 239var result = t.Transform(dataView); 280var result = t.Transform(dataView); 321var result = t.Transform(dataView); 781IDataView transformedData = pipeline.Fit(data).Transform(data);
Transformers\WordEmbeddingsTests.cs (2)
51var savedData = ML.Data.TakeRows(pipe.Fit(words).Transform(words), 4); 94var savedData = ML.Data.TakeRows(pipe.Fit(words).Transform(words), 10);
Transformers\WordTokenizeTests.cs (2)
66var result = pipe.Fit(dataView).Transform(dataView); 104var result = pipe.Fit(dataView).Transform(dataView);
Microsoft.ML.TorchSharp.Tests (4)
QATests.cs (1)
89var transformedData = model.Transform(dataView);
TextClassificationTests.cs (3)
318var preppedData = dataPrepTransformer.Transform(dataView); 403var score = transformer.Transform(dataView).GetColumn<float>(transformerSchema[3].Name); 444var transformedData = model.Transform(dataSplit.TestSet);
Microsoft.ML.Transforms (11)
Dracula\CountTargetEncodingTransformer.cs (2)
292return new CountTargetEncodingTransformer(_host, hashingTransformer, _countTableEstimator.Fit(hashingTransformer.Transform(input))); 400var hashedData = HashingTransformer.Transform(input);
EntryPoints\TextAnalytics.cs (1)
125var view = est.Fit(input.Data).Transform(input.Data);
LearnerFeatureSelection.cs (1)
111return new SlotsDroppingTransformer(host, column).Transform(input) as IDataTransform;
NAHandling.cs (1)
70var xf = new MissingValueIndicatorTransformer(h, input).Transform(input.Data);
Text\SentimentAnalyzingTransform.cs (5)
85input = copyTransformer.Transform(input); 93input = copyTransformer.Transform(input); 106input = copyTransformer.Transform(input); 134return new ColumnCopyingTransformer(env, hiddenNames.Select(x => (Name: x.Key, Source: x.Value)).ToArray()).Transform(input); 142input = new ColumnCopyingTransformer(env, hiddenNames.Select(x => (outputColumnName: x.Key, inputColumnName: x.Value)).ToArray()).Transform(input);
Text\WordHashBagProducingTransform.cs (1)
374.Append(new NgramHashingEstimator(h, ngramHashColumns).Fit(hashing.Transform(input)))