LoadFromTextFile

111 references to LoadFromTextFile

Microsoft.ML.AutoML.Samples (10)

AutoFit\BinaryClassificationExperiment.cs (2)

21IDataView trainDataView = mlContext.Data.LoadFromTextFile<SentimentIssue>(TrainDataPath, hasHeader: true); 22IDataView testDataView = mlContext.Data.LoadFromTextFile<SentimentIssue>(TestDataPath, hasHeader: true);

AutoFit\MulticlassClassificationExperiment.cs (2)

22IDataView trainDataView = mlContext.Data.LoadFromTextFile<PixelData>(TrainDataPath, separatorChar: ','); 23IDataView testDataView = mlContext.Data.LoadFromTextFile<PixelData>(TestDataPath, separatorChar: ',');

AutoFit\RankingExperiment.cs (2)

25IDataView trainDataView = mlContext.Data.LoadFromTextFile<SearchData>(TrainDataPath, hasHeader: true, separatorChar: ','); 26IDataView testDataView = mlContext.Data.LoadFromTextFile<SearchData>(TestDataPath, hasHeader: true, separatorChar: ',');

AutoFit\RecommendationExperiment.cs (2)

28IDataView trainDataView = mlContext.Data.LoadFromTextFile<Movie>(TrainDataPath, hasHeader: true, separatorChar: ','); 29IDataView testDataView = mlContext.Data.LoadFromTextFile<Movie>(TestDataPath, hasHeader: true, separatorChar: ',');

AutoFit\RegressionExperiment.cs (2)

22IDataView trainDataView = mlContext.Data.LoadFromTextFile<TaxiTrip>(TrainDataPath, hasHeader: true, separatorChar: ','); 23IDataView testDataView = mlContext.Data.LoadFromTextFile<TaxiTrip>(TestDataPath, hasHeader: true, separatorChar: ',');

Microsoft.ML.CodeGenerator.Tests (2)

UtilTest.cs (2)

131var dataView = context.Data.LoadFromTextFile<TestClass>(filePath, separatorChar: ',', hasHeader: true); 166var dataView = context.Data.LoadFromTextFile<TestClassContainsDuplicates>(filePath, separatorChar: ',', hasHeader: true);

Microsoft.ML.IntegrationTests (53)

DataIO.cs (1)

98var dataAfter = mlContext.Data.LoadFromTextFile<TypeTestData>(filePath, separatorChar: separator, hasHeader: true, allowQuoting: true);

Datasets\Iris.cs (1)

39var data = mlContext.Data.LoadFromTextFile<Iris>(filePath, hasHeader: hasHeader, separatorChar: separatorChar);

Datasets\TrivialMatrixFactorization.cs (1)

27var data = mlContext.Data.LoadFromTextFile<TrivialMatrixFactorization>(filePath, hasHeader: hasHeader, separatorChar: separatorChar);

DataTransformation.cs (5)

32var data = mlContext.Data.LoadFromTextFile<Iris>( 85var data = mlContext.Data.LoadFromTextFile<Iris>( 132var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 169var data = mlContext.Data.LoadFromTextFile<Iris>( 196var data = mlContext.Data.LoadFromTextFile<Iris>(

Debugging.cs (3)

104var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 133var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 171var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true);

Evaluation.cs (6)

60var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 89var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 118var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename), 146var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename), 268var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 295var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename),

Explainability.cs (8)

35var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 93var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 117var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 144var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 171var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 208var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 245var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 283var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true);

IntrospectiveTraining.cs (9)

35var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 75var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 137var data = mlContext.Data.LoadFromTextFile<Iris>( 178var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 219var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 258var data = mlContext.Data.LoadFromTextFile<Iris>( 289var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 332var data = mlContext.Data.LoadFromTextFile<Adult>(TestCommon.GetDataPath(DataDir, TestDatasets.adult.trainFilename), 389var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename),

ModelFiles.cs (2)

45var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 92var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true);

ONNX.cs (3)

37var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 87var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 139var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true);

Training.cs (11)

32var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 86var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 130var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 174var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 218var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 261var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename), 312var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), 356var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), 400var data = mlContext.Data.LoadFromTextFile<TweetSentiment>(TestCommon.GetDataPath(DataDir, TestDatasets.Sentiment.trainFilename), 448var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename), 479var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename),

Validation.cs (3)

38var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 104var data = mlContext.Data.LoadFromTextFile<HousingRegression>(TestCommon.GetDataPath(DataDir, TestDatasets.housing.trainFilename), hasHeader: true); 153var data = mlContext.Data.LoadFromTextFile<Iris>(TestCommon.GetDataPath(DataDir, TestDatasets.iris.trainFilename), hasHeader: true);

Microsoft.ML.OnnxTransformerTest (1)

DnnImageFeaturizerTest.cs (1)

214var data = ML.Data.LoadFromTextFile<ModelInput>(

Microsoft.ML.PerformanceTests (1)

TextPredictionEngineCreation.cs (1)

24var data = _context.Data.LoadFromTextFile<SentimentData>(

Microsoft.ML.Tests (38)

FeatureContributionTests.cs (1)

418IDataView trainingDataView = ML.Data.LoadFromTextFile<TaxiTrip>(trainDataPath, hasHeader: true, separatorChar: ',');

OnnxConversionTest.cs (17)

71var data = mlContext.Data.LoadFromTextFile<AdultData>(trainDataPath, 149var data = mlContext.Data.LoadFromTextFile<BreastCancerFeatureVector>(dataPath, 182var dataView = mlContext.Data.LoadFromTextFile<AdultData>(dataPath, 222var dataView = mlContext.Data.LoadFromTextFile<BreastCancerBinaryClassification>(dataPath, separatorChar: '\t', hasHeader: false); 280var dataView = ML.Data.LoadFromTextFile<BreastCancerBinaryClassification>(dataPath, separatorChar: '\t', hasHeader: true); 567var data = mlContext.Data.LoadFromTextFile<AdultData>(trainDataPath, 598var data = mlContext.Data.LoadFromTextFile<AdultData>(trainDataPath, 624var data = mlContext.Data.LoadFromTextFile<BreastCancerMulticlassExample>(dataPath, 788var data = mlContext.Data.LoadFromTextFile<BreastCancerCatFeatureExample>(dataPath, 851var data = mlContext.Data.LoadFromTextFile<SmallSentimentExample>(dataPath, separatorChar: '\t', hasHeader: false); 1004var dataView = mlContext.Data.LoadFromTextFile<BreastCancerCatFeatureExample>(dataPath); 1647var dataView = mlContext.Data.LoadFromTextFile<BreastCancerMulticlassExample>(dataPath, separatorChar: '\t', hasHeader: false); 1701var dataView = mlContext.Data.LoadFromTextFile<AdultData>(trainDataPath, 1719var dataView = mlContext.Data.LoadFromTextFile<AdultData>(trainDataPath, 1933var dataView = mlContext.Data.LoadFromTextFile<BreastCancerBinaryClassificationNonDefaultColNames>(dataPath, separatorChar: '\t', hasHeader: false); 1974var dataView = mlContext.Data.LoadFromTextFile<BreastCancerMulticlassExampleNonDefaultColNames>(dataPath, separatorChar: '\t', hasHeader: false); 2025var dataView = ML.Data.LoadFromTextFile<BreastCancerCatFeatureExample>(dataPath);

Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (7)

41var data = mlContext.Data.LoadFromTextFile<InspectedRow>(dataPath, 151var trainData = mlContext.Data.LoadFromTextFile<RegressionData>(trainDataPath, 187var testData = mlContext.Data.LoadFromTextFile<RegressionData>(testDataPath, 219var trainData = mlContext.Data.LoadFromTextFile<IrisInput>(irisDataPath, 304var trainData = mlContext.Data.LoadFromTextFile<IrisInputAllFeatures>(dataPath, 636var data = mlContext.Data.LoadFromTextFile<IrisInput>(dataPath, 685var loader = mlContext.Data.LoadFromTextFile<RegressionData>(dataPath,

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

31var data = ml.Data.LoadFromTextFile<IrisData>(dataPath, separatorChar: ',');

Scenarios\Api\Estimators\MultithreadedPrediction.cs (2)

28var data = ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.trainFilename), hasHeader: true); 44ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.testFilename), hasHeader: true), false);

Scenarios\Api\Estimators\PredictAndMetadata.cs (2)

29var data = ml.Data.LoadFromTextFile<IrisData>(dataPath, separatorChar: ','); 78var data = mlContext.Data.LoadFromTextFile<IrisData>(dataPath, separatorChar: ',');

Scenarios\Api\Estimators\SimpleTrainAndPredict.cs (4)

26var data = ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.trainFilename), hasHeader: true); 42ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.testFilename), hasHeader: true), false); 63var data = ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.trainFilename), hasHeader: true); 81ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.testFilename), hasHeader: true), false);

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

25var data = ml.Data.LoadFromTextFile<SentimentData>(GetDataPath(TestDatasets.Sentiment.trainFilename), hasHeader: true);

Scenarios\RegressionTest.cs (1)

20context.Data.LoadFromTextFile<FeatureContributionTests.TaxiTrip>(taxiDataPath, hasHeader: true,

TextLoaderTests.cs (2)

584var ex = Assert.Throws<ArgumentOutOfRangeException>(() => mlContext.Data.LoadFromTextFile<ModelWithoutColumnAttribute>("fakefile.txt")); 601var data2 = mlContext.Data.LoadFromTextFile<Input>(combinedPath);

Microsoft.ML.TimeSeries.Tests (6)

TimeSeriesDirectApi.cs (6)

597dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 685dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 732dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 787dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 846dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 904dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true);