4 instantiations of ColumnCopyingEstimator
Microsoft.ML.Data (4)
DataLoadSave\DataOperationsCatalog.cs (1)
580data = new ColumnCopyingEstimator(env, (splitColumnName, samplingKeyColumn)).Fit(data).Transform(data);
Training\TrainerUtils.cs (1)
445var estimator = new ColumnCopyingEstimator(_env, nameMap.ToArray());
Transforms\ExtensionsCatalog.cs (2)
75=> new ColumnCopyingEstimator(CatalogUtils.GetEnvironment(catalog), outputColumnName, inputColumnName); 96return new ColumnCopyingEstimator(env, InputOutputColumnPair.ConvertToValueTuples(columns));
33 references to ColumnCopyingEstimator
Microsoft.ML.Data (7)
Training\TrainerUtils.cs (1)
445var estimator = new ColumnCopyingEstimator(_env, nameMap.ToArray());
Transforms\ColumnCopying.cs (2)
64: base(Contracts.CheckRef(env, nameof(env)).Register(nameof(ColumnCopyingEstimator)), new ColumnCopyingTransformer(env, columns)) 89/// <see cref="ITransformer"/> resulting from fitting a <see cref="ColumnCopyingEstimator"/>.
Transforms\ExtensionsCatalog.cs (4)
59/// Create a <see cref="ColumnCopyingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/> 74public static ColumnCopyingEstimator CopyColumns(this TransformsCatalog catalog, string outputColumnName, string inputColumnName) 78/// Create a <see cref="ColumnCopyingEstimator"/>, which copies the data from the column specified in <see cref="InputOutputColumnPair.InputColumnName" /> 92internal static ColumnCopyingEstimator CopyColumns(this TransformsCatalog catalog, params InputOutputColumnPair[] columns)
Microsoft.ML.DnnImageFeaturizer.AlexNet (3)
AlexNetExtension.cs (3)
41var inputRename = new ColumnCopyingEstimator(env, new[] { ("OriginalInput", inputColumnName) }); 42var midRename = new ColumnCopyingEstimator(env, new[] { ("Input140", "PreprocessedInput") }); 43var endRename = new ColumnCopyingEstimator(env, new[] { (outputColumnName, "Dropout234_Output_0") });
Microsoft.ML.DnnImageFeaturizer.ResNet101 (3)
ResNet101Extension.cs (3)
41var inputRename = new ColumnCopyingEstimator(env, new[] { ("OriginalInput", inputColumnName) }); 42var midRename = new ColumnCopyingEstimator(env, new[] { ("Input1600", "PreprocessedInput") }); 43var endRename = new ColumnCopyingEstimator(env, new[] { (outputColumnName, "Pooling2286_Output_0") });
Microsoft.ML.DnnImageFeaturizer.ResNet18 (3)
ResNet18Extension.cs (3)
41var inputRename = new ColumnCopyingEstimator(env, new[] { ("OriginalInput", inputColumnName) }); 42var midRename = new ColumnCopyingEstimator(env, new[] { ("Input247", "PreprocessedInput") }); 43var endRename = new ColumnCopyingEstimator(env, new[] { (outputColumnName, "Pooling395_Output_0") });
Microsoft.ML.DnnImageFeaturizer.ResNet50 (3)
ResNet50Extension.cs (3)
41var inputRename = new ColumnCopyingEstimator(env, new[] { ("OriginalInput", inputColumnName) }); 42var midRename = new ColumnCopyingEstimator(env, new[] { ("Input750", "PreprocessedInput") }); 43var endRename = new ColumnCopyingEstimator(env, new[] { (outputColumnName, "Pooling1096_Output_0") });
Microsoft.ML.OnnxTransformer (1)
DnnImageFeaturizerTransform.cs (1)
93/// included in a package together with that extension method. It also contains three <see cref="ColumnCopyingEstimator"/>s
Microsoft.ML.Samples (1)
Dynamic\Transforms\CopyColumns.cs (1)
47var pipeline = mlContext.Transforms.CopyColumns("Label", "ImageId");
Microsoft.ML.Tests (11)
OnnxConversionTest.cs (3)
1705var pipeline = mlContext.Transforms.CopyColumns("Target1", "Target"); 1723var mlpipeline = mlContext.Transforms.CopyColumns("Target1", "Target"); 1791var pipeline2 = mlContext.Transforms.CopyColumns("Label", "Label");
Transformers\CopyColumnEstimatorTests.cs (6)
50var est = new ColumnCopyingEstimator(env, new[] { ("D", "A"), ("E", "B"), ("F", "A") }); 62var est = new ColumnCopyingEstimator(env, new[] { ("A", "D"), ("E", "B") }); 81var est = new ColumnCopyingEstimator(env, new[] { ("D", "A"), ("E", "B"), ("F", "A") }); 99var est = new ColumnCopyingEstimator(env, new[] { ("D", "A"), ("E", "B"), ("F", "A") }); 117var est = new ColumnCopyingEstimator(env, new[] { ("D", "A"), ("E", "B"), ("F", "A") }); 140var est = new ColumnCopyingEstimator(env, "T1", "T");
Transformers\SelectColumnsTests.cs (2)
133var est = new ColumnCopyingEstimator(Env, new[] { ("A", "A"), ("B", "B") }); 156var est = new ColumnCopyingEstimator(Env, new[] { ("A", "A"), ("B", "B") });
Microsoft.ML.Transforms (1)
ExtensionsCatalog.cs (1)
86/// Create a <see cref="ColumnCopyingEstimator"/>, which copies the data from the column specified in <see cref="InputOutputColumnPair.InputColumnName" />