Transform

docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (1)

185IDataView predictions = trainedModel.Transform(testDataset);

docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)

183IDataView predictions = trainedModel.Transform(testDataset);

docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)

168IDataView predictions = trainedModel.Transform(testDataset);

Program.cs (6)

83IDataView trainingPredictions = model.Transform(preprocessedTrainingData); 85IDataView testingPredictions = model.Transform(preprocessedTestingData); 115IDataView trainingPredictions = model.Transform(preprocessedTrainingData); 117IDataView testingPredictions = model.Transform(preprocessedTestingData); 143IDataView trainingPredictions = model.Transform(preprocessedTrainingData); 145IDataView testingPredictions = model.Transform(preprocessedTestingData);

DataPipe\TestDataPipeBase.cs (6)

113var scoredTrain = transformer.Transform(data); 114var scoredTrain2 = loadedTransformer.Transform(data); 135mustFail(() => transformer.Transform(invalidInput)); 137mustFail(() => loadedTransformer.Transform(invalidInput)); 142mustFail(() => transformer.Transform(validForFitNotValidForTransformInput)); 144mustFail(() => loadedTransformer.Transform(validForFitNotValidForTransformInput));

FeatureContributionTests.cs (1)

243var savedData = ML.Data.TakeRows(estimator.Fit(data).Transform(data), 4);

OnnxConversionTest.cs (1)

1504var transformedData = model.Transform(dataView);

Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)

32var trainData = ml.Data.Cache(pipeline.Fit(data).Transform(data));

TrainerEstimators\CalibratorEstimators.cs (3)

105var scoredData = transformer.Transform(data); 131var calibratedData = transformer.Transform(scoredData).Preview(); 266var oldCalibratedData = oldPlattCalibratorTransformer.Transform(calibratorTestData.ScoredData).Preview();

TrainerEstimators\LbfgsTests.cs (2)

26var transformedDataView = pipe.Fit(dataView).Transform(dataView); 40var transformedDataView = pipe.Fit(dataView).Transform(dataView);

TrainerEstimators\MatrixFactorizationTests.cs (1)

561var testPrediction = model.Transform(testDataView);

TrainerEstimators\SymSgdClassificationTests.cs (2)

24var transformedDataView = pipe.Fit(dataView).Transform(dataView); 34var transformedData = pipe.Fit(dataView).Transform(dataView);

TrainerEstimators\TrainerEstimators.cs (3)

102var transformedDataView = pipe.Fit(dataView).Transform(dataView); 133var transformedDataView = pipe.Fit(dataView).Transform(dataView); 175var transformedDataView = pipe.Fit(dataView).Transform(dataView);

TrainerEstimators\TreeEnsembleFeaturizerTest.cs (2)

627var loadedPrediction = loadedModel.Transform(dataView); 686var loadedPrediction = loadedModel.Transform(dataView);

TrainerEstimators\TreeEstimators.cs (8)

Transformers\ConvertTests.cs (1)

398var outDataOld = modelOld.Transform(dataView);

Transformers\CopyColumnEstimatorTests.cs (1)

106var result = loadedTransformer.Transform(dataView);

Transformers\FeatureSelectionTests.cs (2)

155var result = pipe.Fit(dataView).Transform(dataView); 215var result = pipe.Fit(dataView).Transform(dataView);

Transformers\HashTests.cs (2)

346var transformedData = model.Transform(data); 365var hashed = model.Transform(dataView);

Transformers\NormalizerTests.cs (2)

1014var transformedData = normalizer.Transform(data); 1061var transformedData2 = loadedModel.Transform(data);

Transformers\SelectColumnsTests.cs (2)

186var result = loadedTransformer.Transform(dataView); 206var result = loadedTransformer.Transform(dataView);

Transformers\TextFeaturizerTests.cs (4)

107dataView = pipeline.Fit(dataView).Transform(dataView); 149dataView = pipeline.Fit(dataView).Transform(dataView); 444var savedData = ML.Data.TakeRows(feat.Fit(data).Transform(data), 4); 574}).Transform(tokenized);

Transformers\ValueMappingTests.cs (1)

701var result = loadedTransformer.Transform(dataView);

CountFeatureSelection.cs (1)

238return new CountFeatureSelectingEstimator(env, columnOptions).Fit(input).Transform(input) as IDataTransform;

MutualInformationFeatureSelection.cs (1)

270return new MutualInformationFeatureSelectingEstimator(env, options.LabelColumnName, options.SlotsInOutput, options.NumBins, cols).Fit(input).Transform(input) as IDataTransform;

PermutationFeatureImportance.cs (2)

48var baselineMetrics = evaluationFunc(model.Transform(data)); 226var metrics = evaluationFunc(model.Transform(viewPermuted));

SvmLight\SvmLightLoader.cs (2)

758data = keyVectorsToIndexVectors.Transform(data); 759return CreateOutputTransformer(_host, (int)_featureCount, _indicesKind == FeatureIndices.Names, data.Schema).Transform(data);

Text\TextFeaturizingEstimator.cs (3)

615view = transformer.Transform(view); 669return estimator.Fit(data).Transform(data) as IDataTransform; 751data = transformer.Transform(data);

Text\WordBagTransform.cs (2)

174(IDataTransform)CreateEstimator(env, options, SchemaShape.Create(input.Schema)).Fit(input).Transform(input); 546return CreateEstimator(env, options, SchemaShape.Create(input.Schema), termLoaderArgs).Fit(input).Transform(input)/* Create(env, options, input, termLoaderArgs).Transform(input) */as IDataTransform;

Text\WordHashBagProducingTransform.cs (2)

150view = t1.Transform(view); 160(IDataTransform)CreateTransformer(env, options, input).Transform(input);