132 references to Concatenate
Microsoft.ML.AutoML (1)
EstimatorExtensions\EstimatorExtensions.cs (1)
26return context.Transforms.Concatenate(outColumn, inColumns);
Microsoft.ML.AutoML.Tests (9)
SweepableExtensionTest.cs (9)
50var estimator = context.Transforms.Concatenate("output", "input"); 70var pipeline = estimator.Append(context.Transforms.Concatenate("output", "input")); 81SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 94SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 107SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 133SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 147SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 174SweepablePipeline pipeline = context.Transforms.Concatenate("output", "input") 187var estimator = context.Transforms.Concatenate("output", "input");
Microsoft.ML.Data (1)
Transforms\ColumnConcatenatingEstimator.cs (1)
38/// <seealso cref="TransformExtensionsCatalog.Concatenate(TransformsCatalog, string, string[])"/>
Microsoft.ML.Fairlearn.Tests (1)
GridSearchTest.cs (1)
96.Append(context.Transforms.Concatenate("Features", "sensitiveFeature_encode", "score_feature"))
Microsoft.ML.IntegrationTests (41)
DataTransformation.cs (2)
175var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 202var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features)
Debugging.cs (2)
107var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 174var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
Evaluation.cs (4)
123var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 151var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 176var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 270var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
Explainability.cs (8)
38var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 96var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 120var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 147var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 174var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 211var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 248var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 286var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
IntrospectiveTraining.cs (8)
38var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 143var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 264var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 292var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 337var pipeline = mlContext.Transforms.Concatenate("NumericalFeatures", Adult.NumericalFeatures) 338.Append(mlContext.Transforms.Concatenate("CategoricalFeatures", Adult.CategoricalFeatures)) 394var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 419return mlContext.Transforms.Concatenate("LabelAndFeatures", "Label", "Features")
ModelFiles.cs (2)
48var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 95var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
ONNX.cs (3)
40var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 90var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 142var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
SchemaDefinitionTests.cs (3)
37.Append(_ml.Transforms.Concatenate("Features", "Cat", "NumericFeatures")); 41.Append(_ml.Transforms.Concatenate("Features", "Cat", "NumericFeatures")); 68.Append(_ml.Transforms.Concatenate("Features", "NumericFeatures", "Categories", "Workclass"))
Training.cs (5)
266var featurizationPipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 317var featurizationPipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 361var featurizationPipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 455var binaryClassificationPipeline = mlContext.Transforms.Concatenate("Features", Iris.Features) 486var binaryClassificationPipeline = mlContext.Transforms.Concatenate("Features", Iris.Features)
Validation.cs (4)
41var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 68var dataProcessPipeline = mlContext.Transforms.Concatenate("Features", new[] { "FeatureVectorA", "FeatureVectorB" }).Append( 112var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features) 154var pipeline = mlContext.Transforms.Concatenate("Features", Iris.Features)
Microsoft.ML.OnnxTransformerTest (1)
DnnImageFeaturizerTest.cs (1)
226.Append(ML.Transforms.Concatenate("Features", new[] { "ImagePath_featurized" }))
Microsoft.ML.PerformanceTests (3)
KMeansAndLogisticRegressionBench.cs (2)
38.Append(ml.Transforms.Concatenate("Features", "NumFeatures", "CatFeatures")) 40.Append(ml.Transforms.Concatenate("Features", "Features", "Score"))
RffTransform.cs (1)
47.Append(mlContext.Transforms.Concatenate("Features", "FeaturesRFF"))
Microsoft.ML.Samples (15)
Dynamic\ModelOperations\OnnxConversion.cs (1)
59.Append(mlContext.Transforms.Concatenate("Features", "workclass", "education", "marital-status",
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
28.Concatenate("Features", featureColumns)
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
24.Concatenate("Features", featureColumns)
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (1)
29.Concatenate("Features", featureColumns)
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
32.Concatenate("Features", featureColumns)
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
27var pipeline = mlContext.Transforms.Concatenate("Features",
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
29var pipeline = mlContext.Transforms.Concatenate("Features",
Dynamic\Trainers\Regression\LightGbmAdvanced.cs (1)
39var pipeline = mlContext.Transforms.Concatenate("Features",
Dynamic\Trainers\Regression\LightGbmWithOptionsAdvanced.cs (1)
40var pipeline = mlContext.Transforms.Concatenate(
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
28var pipeline = mlContext.Transforms.Concatenate(
Dynamic\Trainers\Regression\PermutationFeatureImportanceLoadFromDisk.cs (1)
30var pipeline = mlContext.Transforms.Concatenate(
Dynamic\Transforms\CalculateFeatureContribution.cs (1)
25var transformPipeline = mlContext.Transforms.Concatenate("Features",
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
25var transformPipeline = mlContext.Transforms.Concatenate("Features",
Dynamic\Transforms\Concatenate.cs (1)
51.Append(mlContext.Transforms.Concatenate("Features", new[]
Dynamic\Transforms\Conversion\MapKeyToVector.cs (1)
44.Append(mlContext.Transforms.Concatenate("Parts", "PartA", "PartB"))
Microsoft.ML.Samples.OneDal (3)
Program.cs (3)
67var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); 99var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); 131var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray);
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
101.Append(mlContext.Transforms.Concatenate("Features", "workclass", "education", "marital-status",
Microsoft.ML.TensorFlow.Tests (4)
TensorflowTests.cs (4)
670.Append(_mlContext.Transforms.Concatenate("Features", "Softmax", "dense/Relu")) 723.Append(_mlContext.Transforms.Concatenate("Features", "Prediction")) 837.Append(_mlContext.Transforms.Concatenate("Features", "Prediction")) 894.Append(_mlContext.Transforms.Concatenate("Features", new[] { "Softmax", "dense/Relu" }))
Microsoft.ML.Tests (51)
CalibratedModelParametersTests.cs (1)
133var pipeline = ML.Transforms.Concatenate("Features", "X1", "X2Important", "X3", "X4Rand")
DatabaseLoaderTests.cs (5)
68.Append(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")) 104.Append(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")) 140.Append(mlContext.Transforms.Concatenate("Features", "SepalInfo", "PetalInfo")) 172.Append(mlContext.Transforms.Concatenate("Features", "SepalInfo", "PetalInfo")) 204.Append(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth"))
FeatureContributionTests.cs (2)
314var pipeline = ML.Transforms.Concatenate("Features", "X1", "X2VBuffer", "X3Important") 431.Append(ML.Transforms.Concatenate(DefaultColumnNames.Features, vendorIdEncoded, rateCodeEncoded, paymentTypeEncoded,
OnnxConversionTest.cs (2)
774var pipeline = mlContext.Transforms.Concatenate("Features", "VectorDouble1", "VectorDouble2"); 794.Append(mlContext.Transforms.Concatenate("Features", "F1", "F2"))
PermutationFeatureImportanceTests.cs (2)
858var pipeline = ML.Transforms.Concatenate("Features", "X1", "X2Important", "X3", "X4Rand") 938var pipeline = ML.Transforms.Concatenate("Features", "X1", "X2VBuffer", "X3Important")
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (8)
48var pipeline = mlContext.Transforms.Concatenate("AllFeatures", "Education", "MaritalStatus"); 230mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth") 351var pipeline = context.Transforms.Concatenate("Features", "CrimesPerCapita", "PercentResidental", "PercentNonRetail", "CharlesRiver", "NitricOxides", 391var pipeline = context.Transforms.Concatenate("Features", "CrimesPerCapita", "PercentResidental", "PercentNonRetail", "CharlesRiver", "NitricOxides", 426var pipeline = context.Transforms.Concatenate("Features", "CrimesPerCapita", "PercentResidental", "PercentNonRetail", "CharlesRiver", "NitricOxides", 462var pipeline = context.Transforms.Concatenate("Features", "CrimesPerCapita", "PercentResidental", "PercentNonRetail", "CharlesRiver", "NitricOxides", 614.Append(mlContext.Transforms.Concatenate("Features", "NumericalFeatures", "CategoricalBag", "WorkclassOneHotTrimmed")) 644mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")
Scenarios\Api\Estimators\PredictAndMetadata.cs (2)
31var pipeline = ml.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth") 80var pipeline = mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")
Scenarios\IrisPlantClassificationTests.cs (1)
32var pipe = mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
36var pipe = mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")
Scenarios\RegressionTest.cs (1)
34.Append(context.Transforms.Concatenate("Features", "VendorIdEncoded", "RateCodeEncoded", "PaymentTypeEncoded", "PassengerCount",
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
30var pipe = mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")
TrainerEstimators\OneDalEstimators.cs (1)
57var preprocessingPipeline = ML.Transforms.Concatenate("Features", new string[] { "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7" });
TrainerEstimators\TrainerEstimators.cs (1)
219oneHotPipeline.Append(ML.Transforms.Concatenate("Features", "Features", "LoggedIn"));
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (13)
331.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 377.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 416.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 455.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 493.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 531.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 569.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 607.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 664.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "OhMyTrees", "OhMyLeaves", "OhMyPaths")) 696.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "OhMyTrees", "OhMyLeaves", "OhMyPaths")) 740.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths")) 751.Append(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Leaves")) 806.Append(ML.Transforms.Concatenate("CombinedFeatures", "Trees", "Leaves", "Paths"))
Transformers\CategoricalTests.cs (1)
111.Append(mlContext.Transforms.Concatenate("Features", new string[] { "A", "B" }))
Transformers\ConcatTests.cs (5)
28var pipe = ML.Transforms.Concatenate("Features"); 65var pipe = ML.Transforms.Concatenate("f1", "float1") 66.Append(ML.Transforms.Concatenate("f2", "float1", "float1")) 67.Append(ML.Transforms.Concatenate("f3", "float4", "float1")) 68.Append(ML.Transforms.Concatenate("f4", "float6", "vfloat", "float1"));
Transformers\CountTargetEncodingTests.cs (3)
86.Append(ML.Transforms.Concatenate("Features", "ScalarString", "VectorString")) 94.Append(ML.Transforms.Concatenate("Features", "ScalarString", "VectorString")) 103.Append(ML.Transforms.Concatenate("Features", "ScalarString", "VectorString"))
Transformers\HashTests.cs (1)
383var pipeline = ML.Transforms.Concatenate("D", "A")
Microsoft.ML.TimeSeries.Tests (1)
TimeSeriesDirectApi.cs (1)
454.Append(ml.Transforms.Concatenate("Forecast", "Forecast", "ConfidenceLowerBound", "ConfidenceUpperBound"))