134 references to InputOutputColumnPair
Microsoft.ML.AutoML (6)
AutoMlUtils.cs (1)
42res.Add(new InputOutputColumnPair(outputs[i], inputs[i]));
EstimatorExtensions\EstimatorExtensions.cs (5)
113var pair = new InputOutputColumnPair(outColumns[i], inColumns[i]); 140var pair = new InputOutputColumnPair(outColumns[i], inColumns[i]); 188cols[i] = new InputOutputColumnPair(outColumns[i], inColumns[i]); 219cols[i] = new InputOutputColumnPair(outColumns[i], inColumns[i]); 266cols[i] = new InputOutputColumnPair(outColumns[i], inColumns[i]);
Microsoft.ML.Data (1)
Transforms\ExtensionsCatalog.cs (1)
49infos.Select(info => new InputOutputColumnPair(info.outputColumnName, info.inputColumnName)).ToList().AsReadOnly();
Microsoft.ML.Samples (30)
Dynamic\Transforms\Categorical\OneHotEncodingMultiColumn.cs (2)
33new InputOutputColumnPair("Education"), 34new InputOutputColumnPair("ZipCode")
Dynamic\Transforms\Categorical\OneHotHashEncodingMultiColumn.cs (2)
33new InputOutputColumnPair("Education"), 34new InputOutputColumnPair("ZipCode")
Dynamic\Transforms\Conversion\ConvertTypeMultiColumn.cs (4)
42new InputOutputColumnPair("Converted1", "Feature1"), 43new InputOutputColumnPair("Converted2", "Feature2"), 44new InputOutputColumnPair("Converted3", "Feature3"), 45new InputOutputColumnPair("Converted4", "Feature4"),
Dynamic\Transforms\Conversion\MapKeyToValueMultiColumn.cs (2)
48new InputOutputColumnPair("LabelOriginalValue","Label"), 49new InputOutputColumnPair("PredictedLabelOriginalValue",
Dynamic\Transforms\Conversion\MapKeyToVectorMultiColumn.cs (2)
35new InputOutputColumnPair ("TimeframeVector", "Timeframe"), 36new InputOutputColumnPair ("CategoryVector", "Category")
Dynamic\Transforms\Conversion\MapValueToKeyMultiColumn.cs (4)
31new InputOutputColumnPair("StudyTimeCategory", "StudyTime"), 32new InputOutputColumnPair("CourseCategory", "Course") 83new InputOutputColumnPair("StudyTimeCategory", "StudyTime"), 84new InputOutputColumnPair("CourseCategory", "Course")
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnCountMultiColumn.cs (2)
41InputOutputColumnPair("NumericVector"), new InputOutputColumnPair(
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnMutualInformationMultiColumn.cs (2)
41{ new InputOutputColumnPair("NumericVectorA"), new 42InputOutputColumnPair("NumericVectorB") }, labelColumnName: "Label",
Dynamic\Transforms\IndicateMissingValuesMultiColumn.cs (2)
36new InputOutputColumnPair("MissingIndicator1", "Features1"), 37new InputOutputColumnPair("MissingIndicator2", "Features2")
Dynamic\Transforms\NormalizeBinningMulticolumn.cs (2)
38new InputOutputColumnPair("Features"), 39new InputOutputColumnPair("Features2"),
Dynamic\Transforms\NormalizeMinMaxMulticolumn.cs (2)
46new InputOutputColumnPair("Features"), 47new InputOutputColumnPair("Features2")
Dynamic\Transforms\ReplaceMissingValuesMultiColumn.cs (4)
37new InputOutputColumnPair("MissingReplaced1", "Features1"), 38new InputOutputColumnPair("MissingReplaced2", "Features2") 72new InputOutputColumnPair("MissingReplaced1", "Features1"), 73new InputOutputColumnPair("MissingReplaced2", "Features2")
Microsoft.ML.TensorFlow.Tests (3)
TensorflowTests.cs (3)
1282new[] { new InputOutputColumnPair("Features", "TokenizedWords") })); 1351.Append(_mlContext.Transforms.CopyColumns(new[] { new InputOutputColumnPair("AOut", "Original_A"), new InputOutputColumnPair("BOut", "Joined_Splited_Text") }));
Microsoft.ML.Tests (92)
OnnxConversionTest.cs (1)
1167var pipeline = mlContext.Transforms.IndicateMissingValues(new[] { new InputOutputColumnPair("MissingIndicator", "Features"), })
Transformers\CountTargetEncodingTests.cs (14)
33new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, "Label"); 64new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, "Label", CountTableBuilderBase.CreateCMCountTableBuilder(2, 1 << 6)); 67estimator = ML.Transforms.CountTargetEncode(new[] { new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, transformer); 85new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, "Label", CountTableBuilderBase.CreateCMCountTableBuilder(2, 1 << 6), laplaceScale: 1f) 93new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, "Label", CountTableBuilderBase.CreateCMCountTableBuilder(2, 1 << 6)) 102new InputOutputColumnPair("ScalarString"), new InputOutputColumnPair("VectorString") }, "Label", CountTableBuilderBase.CreateCMCountTableBuilder(2, 1 << 6)) 170ML.Transforms.CountTargetEncode(new[] { new InputOutputColumnPair("ScalarString1", "ScalarString"), new InputOutputColumnPair("VectorString2", "VectorString") },
Transformers\FeatureSelectionTests.cs (2)
180new InputOutputColumnPair("out1", "VectorFloat"), 181new InputOutputColumnPair("out2", "VectorDouble")
Transformers\KeyToBinaryVectorEstimatorTest.cs (9)
54var pipe = ML.Transforms.Conversion.MapKeyToBinaryVector(new[] { new InputOutputColumnPair("CatA", "TermA"), new InputOutputColumnPair("CatC", "TermC") }); 101new InputOutputColumnPair("CatA", "TA"), 102new InputOutputColumnPair("CatB", "TB"), 103new InputOutputColumnPair("CatC", "TC"), 104new InputOutputColumnPair("CatD", "TD") 155var pipe = ML.Transforms.Conversion.MapKeyToBinaryVector(new[] { new InputOutputColumnPair("CatA", "TermA"), new InputOutputColumnPair("CatB", "TermB"), new InputOutputColumnPair("CatC", "TermC") });
Transformers\NAIndicatorTests.cs (12)
48new InputOutputColumnPair("NAA", "A"), 49new InputOutputColumnPair("NAB", "B"), 50new InputOutputColumnPair("NAC", "C"), 51new InputOutputColumnPair("NAD", "D") 76new InputOutputColumnPair("NAA", "A"), 77new InputOutputColumnPair("NAB", "B"), 78new InputOutputColumnPair("NAC", "C"), 79new InputOutputColumnPair("NAD", "D") 106new InputOutputColumnPair("A", "ScalarFloat"), 107new InputOutputColumnPair("B", "ScalarDouble"), 108new InputOutputColumnPair("C", "VectorFloat"), 109new InputOutputColumnPair("D", "VectorDoulbe")
Transformers\NormalizerTests.cs (28)
239new[] { new InputOutputColumnPair("float1"), new InputOutputColumnPair("float4"), 240new InputOutputColumnPair("double1"), new InputOutputColumnPair("double4"), }) 242new[] {new InputOutputColumnPair("float1bin", "float1"), new InputOutputColumnPair("float4bin", "float4"), 243new InputOutputColumnPair("double1bin", "double1"), new InputOutputColumnPair("double4bin", "double4")})) 245new[] {new InputOutputColumnPair("float1mv", "float1"), new InputOutputColumnPair("float4mv", "float4"), 246new InputOutputColumnPair("double1mv", "double1"), new InputOutputColumnPair("double4mv", "double4")})) 248new[] {new InputOutputColumnPair("float1lmv", "float1"), new InputOutputColumnPair("float4lmv", "float4"), 249new InputOutputColumnPair("double1lmv", "double1"), new InputOutputColumnPair("double4lmv", "double4")})) 251new[] {new InputOutputColumnPair("float1nsb", "float1"), new InputOutputColumnPair("float4nsb", "float4"), 252new InputOutputColumnPair("double1nsb", "double1"), new InputOutputColumnPair("double4nsb", "double4")})); 392new[] {new InputOutputColumnPair("float1rbs", "float1"), new InputOutputColumnPair("float4rbs", "float4"), 393new InputOutputColumnPair("double1rbs", "double1"), new InputOutputColumnPair("double4rbs", "double4")}); 431new[] {new InputOutputColumnPair("float1rbs", "float1"), new InputOutputColumnPair("float4rbs", "float4"), 432new InputOutputColumnPair("double1rbs", "double1"), new InputOutputColumnPair("double4rbs", "double4")}
Transformers\ValueMappingTests.cs (26)
146Append(ML.Transforms.Conversion.MapValue(keyValuePairs, true, new[] { new InputOutputColumnPair("VecD", "TokenizeA"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") })); 371new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 403new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 437var estimator = ML.Transforms.Conversion.MapValue(keyValuePairs, true, new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 478var estimator = ML.Transforms.Conversion.MapValue(keyValuePairs, true, new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 519var estimator = ML.Transforms.Conversion.MapValue(keyValuePairs, true, new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 601var est = ML.Transforms.Conversion.MapValue(keyValuePairs, new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 620var est = ML.Transforms.Conversion.MapValue(keyValuePairs, new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B"), new InputOutputColumnPair("F", "C") }); 693new[] { new InputOutputColumnPair("D", "A"), new InputOutputColumnPair("E", "B") });
Microsoft.ML.Transforms (2)
Dracula\CountTargetEncodingTransformer.cs (2)
151columns.Select(c => new InputOutputColumnPair(c.OutputColumnName, c.OutputColumnName)).ToArray()); 535return new CountTargetEncodingEstimator(CatalogUtils.GetEnvironment(catalog), labelColumn, initialCounts, new[] { new InputOutputColumnPair(outputColumnName, inputColumnName) });