26 references to CopyColumns
Microsoft.ML.AutoML (1)
EstimatorExtensions\EstimatorExtensions.cs (1)
47return context.Transforms.CopyColumns(outColumn, inColumn);
Microsoft.ML.AutoML.Tests (1)
SweepableExtensionTest.cs (1)
189pipeline = pipeline.Append(context.Transforms.CopyColumns("output", "input"));
Microsoft.ML.Data (1)
Transforms\ColumnCopying.cs (1)
53/// <seealso cref="TransformExtensionsCatalog.CopyColumns(TransformsCatalog, string, string)" />
Microsoft.ML.IntegrationTests (1)
ONNX.cs (1)
112mlContext.Transforms.CopyColumns("Score", "Score").Fit(onnxModel.Transform(data)));
Microsoft.ML.Samples (3)
Dynamic\ModelOperations\OnnxConversion.cs (1)
49var wholePipeline = mlContext.Transforms.CopyColumns("Label", "IsOver50K")
Dynamic\TensorFlow\TextClassification.cs (1)
115.Append(mlContext.Transforms.CopyColumns(
Dynamic\Transforms\CopyColumns.cs (1)
47var pipeline = mlContext.Transforms.CopyColumns("Label", "ImageId");
Microsoft.ML.Samples.GPU (1)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
115.Append(mlContext.Transforms.CopyColumns(
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
91var pipeline = mlContext.Transforms.CopyColumns("Label", "IsOver50K")
Microsoft.ML.TensorFlow.Tests (4)
TensorflowTests.cs (4)
668var pipe = _mlContext.Transforms.CopyColumns("reshape_input", "Placeholder") 823var pipe = _mlContext.Transforms.CopyColumns("Features", "Placeholder") 892var pipe = _mlContext.Transforms.CopyColumns("reshape_input", "Placeholder") 1290.Append(_mlContext.Transforms.CopyColumns("Prediction", "Prediction/Softmax"))
Microsoft.ML.Tests (13)
CachingTests.cs (3)
45var pipe = ML.Transforms.CopyColumns("F1", "Features") 54pipe = ML.Transforms.CopyColumns("F1", "Features") 75.Append(ML.Transforms.CopyColumns("F1", "Features"))
FeatureContributionTests.cs (1)
424var dataProcessPipeline = ML.Transforms.CopyColumns(outputColumnName: DefaultColumnNames.Label, inputColumnName: nameof(TaxiTrip.FareAmount))
OnnxConversionTest.cs (3)
1705var pipeline = mlContext.Transforms.CopyColumns("Target1", "Target"); 1723var mlpipeline = mlContext.Transforms.CopyColumns("Target1", "Target"); 1791var pipeline2 = mlContext.Transforms.CopyColumns("Label", "Label");
PermutationFeatureImportanceTests.cs (1)
106var model = ML.Transforms.CopyColumns("Label", "Label").Append(ML.Regression.Trainers.OnlineGradientDescent()).Fit(data);
Scenarios\RegressionTest.cs (1)
27var dataProcessPipeline = context.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "FareAmount")
TrainerEstimators\FAFMEstimator.cs (1)
25var pipeline = mlContext.Transforms.CopyColumns(DefaultColumnNames.Features, nameof(FfmExample.Field0))
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (2)
662var pipeline = ML.Transforms.CopyColumns("CopiedFeatures", "Features") 693var secondPipeline = ML.Transforms.CopyColumns("CopiedFeatures", "Features")
Transformers\CustomMappingTests.cs (1)
106var badData1 = ML.Transforms.CopyColumns("Text1", "Float1").Fit(data).Transform(data);