77 references to TextFeaturizingEstimator
Microsoft.ML.Core.Tests (1)
UnitTests\TestEntryPoints.cs (1)
1806new TextFeaturizingEstimator.Options
Microsoft.ML.IntegrationTests (5)
DataTransformation.cs (2)
138new TextFeaturizingEstimator.Options 142Norm = TextFeaturizingEstimator.NormFunction.L1
Debugging.cs (3)
49var pipeline = mlContext.Transforms.Text.FeaturizeText( 51new TextFeaturizingEstimator.Options 57Norm = TextFeaturizingEstimator.NormFunction.None
Microsoft.ML.PerformanceTests (6)
FeaturizeTextBench.cs (4)
59var featurizers = new List<TextFeaturizingEstimator>(); 62var featurizer = _mlContext.Transforms.Text.FeaturizeText(textColumn, new TextFeaturizingEstimator.Options() 75foreach (var featurizer in featurizers.Skip(1))
StochasticDualCoordinateAscentClassifierBench.cs (2)
102var text = _mlContext.Transforms.Text.FeaturizeText("WordEmbeddings", new TextFeaturizingEstimator.Options 107Norm = TextFeaturizingEstimator.NormFunction.None,
Microsoft.ML.Samples (8)
Dynamic\TextTransform.cs (4)
44var default_pipeline = ml.Transforms.Text 50var customized_pipeline = ml.Transforms.Text 52new TextFeaturizingEstimator.Options 61Language = TextFeaturizingEstimator.Language.English
Dynamic\Transforms\Text\FeaturizeText.cs (1)
53var textPipeline = mlContext.Transforms.Text.FeaturizeText("Features",
Dynamic\Transforms\Text\FeaturizeTextWithOptions.cs (3)
46var options = new TextFeaturizingEstimator.Options() 54Language = TextFeaturizingEstimator.Language.English 71var textPipeline = mlContext.Transforms.Text.FeaturizeText("Features",
Microsoft.ML.Tests (31)
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)
28var pipeline = ml.Transforms.Text.FeaturizeText("Features", "SentimentText");
TrainerEstimators\TrainerEstimators.cs (1)
206var pipeline = new TextFeaturizingEstimator(Env, "Features", "SentimentText");
Transformers\TextFeaturizerTests.cs (29)
51var options = new TextFeaturizingEstimator.Options() { StopWordsRemoverOptions = new StopWordsRemovingEstimator.Options(), OutputTokensColumnName = "OutputTokens" }; 52var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 69var options = new TextFeaturizingEstimator.Options() 73Norm = TextFeaturizingEstimator.NormFunction.None, 76var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 98var options = new TextFeaturizingEstimator.Options() 102Norm = TextFeaturizingEstimator.NormFunction.None, 106var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, null); 140var options = new TextFeaturizingEstimator.Options() 144Norm = TextFeaturizingEstimator.NormFunction.None, 148var pipeline = ML.Transforms.Text.FeaturizeText("Features", options); 182var options = new TextFeaturizingEstimator.Options() 186Norm = TextFeaturizingEstimator.NormFunction.None, 189var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 211var options = new TextFeaturizingEstimator.Options() 214Norm = TextFeaturizingEstimator.NormFunction.L2, 217var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 242var options = new TextFeaturizingEstimator.Options() 251var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 263var options = new TextFeaturizingEstimator.Options() 268var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 311var options = new TextFeaturizingEstimator.Options() 317var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 348var options = new TextFeaturizingEstimator.Options() 354var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 386var options = new TextFeaturizingEstimator.Options() 392var pipeline = ML.Transforms.Text.FeaturizeText("Features", options, "A"); 436var feat = ML.Transforms.Text.FeaturizeText("Data", new TextFeaturizingEstimator.Options { OutputTokensColumnName = "OutputTokens" }, new[] { "text" });
Microsoft.ML.Transforms (26)
EntryPoints\TextAnalytics.cs (5)
21Desc = TextFeaturizingEstimator.Summary, 22UserName = TextFeaturizingEstimator.UserName, 23ShortName = TextFeaturizingEstimator.LoaderSignature)] 24public static CommonOutputs.TransformOutput TextTransform(IHostEnvironment env, TextFeaturizingEstimator.Options input) 27var xf = TextFeaturizingEstimator.Create(h, input, input.Data);
Text\SentimentAnalyzingTransform.cs (1)
15[assembly: LoadableClass(TextFeaturizingEstimator.Summary, typeof(IDataTransform), typeof(SentimentAnalyzingTransformer), typeof(SentimentAnalyzingTransformer.Arguments), typeof(SignatureDataTransform),
Text\StopWordsRemovingTransformer.cs (2)
556public TextFeaturizingEstimator.Language Language; 560Language = TextFeaturizingEstimator.DefaultLanguage;
Text\TextCatalog.cs (5)
21/// Create a <see cref="TextFeaturizingEstimator"/>, which transforms a text column into a featurized vector of <see cref="System.Single"/> that represents normalized counts of n-grams and char-grams. 36public static TextFeaturizingEstimator FeaturizeText(this TransformsCatalog.TextTransforms catalog, 43/// Create a <see cref="TextFeaturizingEstimator"/>, which transforms a text column into featurized vector of <see cref="System.Single"/> that represents normalized counts of n-grams and char-grams. 61public static TextFeaturizingEstimator FeaturizeText(this TransformsCatalog.TextTransforms catalog, 63TextFeaturizingEstimator.Options options,
Text\TextFeaturizingEstimator.cs (13)
18[assembly: LoadableClass(TextFeaturizingEstimator.Summary, typeof(IDataTransform), typeof(TextFeaturizingEstimator), typeof(TextFeaturizingEstimator.Options), typeof(SignatureDataTransform), 19TextFeaturizingEstimator.UserName, "TextTransform", TextFeaturizingEstimator.LoaderSignature)] 21[assembly: LoadableClass(TextFeaturizingEstimator.Summary, typeof(ITransformer), typeof(TextFeaturizingEstimator), null, typeof(SignatureLoadModel), 22TextFeaturizingEstimator.UserName, "TextTransform", TextFeaturizingEstimator.LoaderSignature)] 124/// Advanced options for the <see cref="TextFeaturizingEstimator"/>. 376public TransformApplierParams(TextFeaturizingEstimator parent) 411_host = env.Register(nameof(TextFeaturizingEstimator)); 663var estimator = new TextFeaturizingEstimator(env, args.Columns.Name, args.Columns.Source ?? new[] { args.Columns.Name }, args);