148 instantiations of Range
Microsoft.ML.AutoML (3)
ColumnInference\ColumnGroupingInference.cs (2)
135var currRange = new Range(indices[0]); 145currRange = new Range(indices[i]);
ColumnInference\TextFileContents.cs (1)
69Source = new[] { new TextLoader.Range(0, null) }
Microsoft.ML.AutoML.Tests (3)
AutoFitTests.cs (3)
699new TextLoader.Column(labelColumnName, DataKind.Single, new [] { new TextLoader.Range(0) }), 700new TextLoader.Column(userIdColumnName, DataKind.UInt32, new [] { new TextLoader.Range(1) }, new KeyCount(20)), 701new TextLoader.Column(itemIdColumnName, DataKind.UInt32, new [] { new TextLoader.Range(2) }, new KeyCount(40)),
Microsoft.ML.CodeGenerator.Tests (25)
CodeGenTests.cs (25)
145new TextLoader.Column(){ Name = "Label", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Boolean }, 149new TextLoader.Column(){ Name = "id", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Single }, 150new TextLoader.Column(){ Name = "country", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.Single }, 151new TextLoader.Column(){ Name = "Country", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String } 155new TextLoader.Column(){ Name = "id", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Int32 }, 156new TextLoader.Column(){ Name = "shape", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.Int32 }, 157new TextLoader.Column(){ Name = "Shape", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String }, 158new TextLoader.Column(){ Name = "color", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.String }, 159new TextLoader.Column(){ Name = "price", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Double }, 163new TextLoader.Column(){ Name = "vin", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.String }, 164new TextLoader.Column(){ Name = "make", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.String }, 165new TextLoader.Column(){ Name = "model", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String }, 166new TextLoader.Column(){ Name = "color", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.String }, 167new TextLoader.Column(){ Name = "MSRP", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Single }, 168new TextLoader.Column(){ Name = "engine size", Source = new TextLoader.Range[]{new TextLoader.Range(5) }, DataKind = DataKind.Double }, 169new TextLoader.Column(){ Name = "isElectric", Source = new TextLoader.Range[]{new TextLoader.Range(6) }, DataKind = DataKind.Boolean }, 173new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.String }, 174new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.String }, 175new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.Int32 }, 176new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.Int32 }, 177new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Int32 }, 178new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(5) }, DataKind = DataKind.String }, 179new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(6) }, DataKind = DataKind.Int32 }, 180new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(7) }, DataKind = DataKind.String }, 181new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(8) }, DataKind = DataKind.Double },
Microsoft.ML.Core.Tests (7)
UnitTests\TestEntryPoints.cs (7)
55new [] { new TextLoader.Range(1, 9) }) 77new TextLoader.Column("Rest", DataKind.Single, new [] { new TextLoader.Range(3, 9) }) 1994new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }) 2140new TextLoader.Column("Features", DataKind.Single, new[] { new TextLoader.Range(1, 8) }), 4242new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 9) }) 4316new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 784) }) 4530new [] { new TextLoader.Range() { Min = 0, VariableEnd=true, ForceVector=true} })
Microsoft.ML.Data (9)
DataLoadSave\Text\LoadColumnAttribute.cs (3)
24Sources.Add(new TextLoader.Range(fieldIndex)); 35Sources.Add(new TextLoader.Range(start, end)); 46Sources.Add(new TextLoader.Range(col));
DataLoadSave\Text\TextLoader.cs (3)
57: this(name, dataKind.ToInternalDataKind(), new[] { new Range(index) }) 69: this(name, dataKind.ToInternalDataKind(), new[] { new Range(minIndex, maxIndex) }) 352var res = new Range();
DataLoadSave\Text\TextSaver.cs (3)
513range = new TextLoader.Range { Min = minValue, Max = minValue + vectorType.Size - 1, ForceVector = true }; 515range = new TextLoader.Range { Min = minValue, VariableEnd = true }; 517range = new TextLoader.Range { Min = minValue };
Microsoft.ML.PerformanceTests (6)
KMeansAndLogisticRegressionBench.cs (2)
28new TextLoader.Range() { Min = 1, Max = 8 }, 32new TextLoader.Range() { Min = 9, Max = 14 },
PredictionEngineBench.cs (1)
120new TextLoader.Column("Features", DataKind.Single, new[] { new TextLoader.Range(1, 9) })
RffTransform.cs (1)
37new TextLoader.Column("Features", DataKind.Single, new[] {new TextLoader.Range() {Min = 0, Max = 63}})
StochasticDualCoordinateAscentClassifierBench.cs (2)
93new TextLoader.Column("Label", DataKind.Single, new[] { new TextLoader.Range() { Min = 0, Max = 0 } }), 94new TextLoader.Column("SentimentText", DataKind.String, new[] { new TextLoader.Range() { Min = 1, Max = 1 } })
Microsoft.ML.Samples (1)
Dynamic\DataOperations\LoadingText.cs (1)
96new[] { new TextLoader.Range(0, null) })
Microsoft.ML.TensorFlow.Tests (7)
TensorflowTests.cs (7)
657new TextLoader.Column("Label", DataKind.UInt32 , new [] { new TextLoader.Range(0) }, new KeyCount(10)), 658new TextLoader.Column("Placeholder", DataKind.Single, new []{ new TextLoader.Range(1, 784) }) 701new TextLoader.Column("Placeholder", DataKind.Single, new []{ new TextLoader.Range(1, 784) }) 789new TextLoader.Column("Label", DataKind.UInt32, new []{ new TextLoader.Range(0) }, new KeyCount(10)), 791new TextLoader.Column("Placeholder", DataKind.Single, new []{ new TextLoader.Range(1, 784) }) 882new TextLoader.Column("Label", DataKind.UInt32 , new [] { new TextLoader.Range(0) }, new KeyCount(10)), 883new TextLoader.Column("Placeholder", DataKind.Single, new []{ new TextLoader.Range(1, 784) })
Microsoft.ML.Tests (86)
OnnxConversionTest.cs (1)
1038new TextLoader.Range(0)
Scenarios\Api\Estimators\PredictAndMetadata.cs (1)
103new TextLoader.Column("Features", DataKind.Single, new[]{ new TextLoader.Range(1,4) })
Scenarios\OvaTest.cs (4)
27new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }), 60new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }), 96new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }), 131new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }),
TermEstimatorTests.cs (10)
60new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12) }), 62new TextLoader.Column("double4", DataKind.Double, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12) }), 65new TextLoader.Column("text2", DataKind.String, new[]{new TextLoader.Range(1), new TextLoader.Range(2)}),
TextLoaderTests.cs (11)
899new TextLoader.Column("Features", typeof(T) == typeof(double) ? DataKind.Double : DataKind.Single, new [] { new TextLoader.Range(1, 4) }), 935new TextLoader.Column("Features", typeof(T) == typeof(double) ? DataKind.Double : DataKind.Single, new [] { new TextLoader.Range(1, 4) }) 994new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(1, 4) }) 1046new TextLoader.Column("Features", DataKind.Single, new[] { new TextLoader.Range(1, 4) }) 1056new TextLoader.Column("Features", DataKind.Single, new[] { new TextLoader.Range(1, 4) }) 1441new TextLoader.Column("singFt1", DataKind.Single, new [] { new TextLoader.Range(2,3) } ), 1444new TextLoader.Column("singFt2", DataKind.Single, new [] { new TextLoader.Range(2,3), new TextLoader.Range(5,6) } ), 1447new TextLoader.Column("doubFt1", DataKind.Double, new [] { new TextLoader.Range(2,3) } ), 1450new TextLoader.Column("doubFt2", DataKind.Double, new [] { new TextLoader.Range(2,3), new TextLoader.Range(5,6) } )
TrainerEstimators\FAFMEstimator.cs (4)
97new TextLoader.Column("Feature1", DataKind.Single, new [] { new TextLoader.Range(1, 2) }), 98new TextLoader.Column("Feature2", DataKind.Single, new [] { new TextLoader.Range(3, 4) }), 99new TextLoader.Column("Feature3", DataKind.Single, new [] { new TextLoader.Range(5, 6) }), 100new TextLoader.Column("Feature4", DataKind.Single, new [] { new TextLoader.Range(7, 9) }),
TrainerEstimators\MatrixFactorizationTests.cs (3)
164new TextLoader.Column(labelColumnName, DataKind.Single, new [] { new TextLoader.Range(0) }), 165new TextLoader.Column(matrixColumnIndexColumnName, DataKind.UInt32, new [] { new TextLoader.Range(1) }, new KeyCount(20)), 166new TextLoader.Column(matrixRowIndexColumnName, DataKind.UInt32, new [] { new TextLoader.Range(2) }, new KeyCount(40)),
TrainerEstimators\PriorRandomTests.cs (1)
25new TextLoader.Column("Rest", DataKind.Single, new [] { new TextLoader.Range(3, 9) })
TrainerEstimators\TrainerEstimators.cs (6)
36new TextLoader.Column(featureColumn, DataKind.Single, new [] { new TextLoader.Range(1, 784) }) 65new TextLoader.Column(featureColumn, DataKind.Single, new [] { new TextLoader.Range(1, 784) }), 235new TextLoader.Column("NumericFeatures", DataKind.Single, new [] { new TextLoader.Range(9, 14) }) 257new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(0, 10) } ) 270new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(0, 3) }), 283new TextLoader.Column("Features", DataKind.Single, new [] { new TextLoader.Range(0, 3) }),
Transformers\CategoricalHashTests.cs (1)
84new TextLoader.Column("SingleVectorString", DataKind.String, new[] { new TextLoader.Range(1, 1) })
Transformers\ConcatTests.cs (17)
50new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12) }), 51new TextLoader.Column("float6", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12, 14) }), 52new TextLoader.Column("vfloat", DataKind.Single, new[]{new TextLoader.Range(14, null) { AutoEnd = false, VariableEnd = true } }) 108new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12) }), 109new TextLoader.Column("vfloat", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12, null) { AutoEnd = false, VariableEnd = true } })
Transformers\CustomMappingTests.cs (8)
58new TextLoader.Column("Float4", DataKind.Single, new[]{new TextLoader.Range(9), new TextLoader.Range(10), new TextLoader.Range(11), new TextLoader.Range(12) }) 94new TextLoader.Column("Float4", DataKind.Single, new[]{new TextLoader.Range(0), new TextLoader.Range(2), new TextLoader.Range(4), new TextLoader.Range(10) }),
Transformers\FeatureSelectionTests.cs (3)
149new TextLoader.Column("Label", DataKind.UInt32, new[]{ new TextLoader.Range(0) }, new KeyCount(3)), 171new TextLoader.Column("Label", DataKind.UInt32, new[] { new TextLoader.Range(0) }, new KeyCount(3)), 209new TextLoader.Column("Label", DataKind.UInt32, new[]{ new TextLoader.Range(0) }, new KeyCount(3)),
Transformers\KeyToValueTests.cs (2)
32new TextLoader.Column("VectorString", DataKind.String, new[] {new TextLoader.Range(1, 4) }), 33new TextLoader.Column("BareKey", DataKind.UInt32, new[] { new TextLoader.Range(0) }, new KeyCount(6))
Transformers\NormalizerTests.cs (14)
41new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 43new TextLoader.Column("double4", DataKind.Double, new[]{new TextLoader.Range(1, 4) }), 45new TextLoader.Column("float0", DataKind.Single, new[]{ new TextLoader.Range { Min = 1, VariableEnd = true } }), 110new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 112new TextLoader.Column("double4", DataKind.Double, new[]{new TextLoader.Range(1, 4) }), 114new TextLoader.Column("float0", DataKind.Single, new[]{ new TextLoader.Range { Min = 1, VariableEnd = true } }) 229new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 231new TextLoader.Column("double4", DataKind.Double, new[]{new TextLoader.Range(1, 4) }), 233new TextLoader.Column("float0", DataKind.Single, new[]{ new TextLoader.Range { Min = 1, VariableEnd = true } }) 475new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 579new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 637new TextLoader.Column("input", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 995new TextLoader.Column("float4", DataKind.Single, new[]{new TextLoader.Range(1, 4) }), 997new TextLoader.Column("double4", DataKind.Double, new[]{new TextLoader.Range(1, 4) }),
Microsoft.ML.TorchSharp.Tests (1)
NerTests.cs (1)
209new TextLoader.Range(1, null) { VariableEnd = true, AutoEnd = false }
60 references to Range
Microsoft.ML.AutoML (9)
API\AutoCatalog.cs (3)
214/// <param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="TextLoader.Range"/> for more information.</param> 242/// <param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="TextLoader.Range"/> for more information.</param> 272/// <param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="TextLoader.Range"/> for more information.</param>
ColumnInference\ColumnGroupingInference.cs (6)
11using Range = Microsoft.ML.Data.TextLoader.Range; 30public Range[] Ranges; 32public GroupingColumn(string name, DataKind kind, ColumnPurpose purpose, Range[] ranges) 131private static Range[] GetRanges(int[] indices) 134var allRanges = new List<Range>(); 135var currRange = new Range(indices[0]);
Microsoft.ML.CodeGenerator.Tests (25)
CodeGenTests.cs (25)
145new TextLoader.Column(){ Name = "Label", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Boolean }, 149new TextLoader.Column(){ Name = "id", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Single }, 150new TextLoader.Column(){ Name = "country", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.Single }, 151new TextLoader.Column(){ Name = "Country", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String } 155new TextLoader.Column(){ Name = "id", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.Int32 }, 156new TextLoader.Column(){ Name = "shape", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.Int32 }, 157new TextLoader.Column(){ Name = "Shape", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String }, 158new TextLoader.Column(){ Name = "color", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.String }, 159new TextLoader.Column(){ Name = "price", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Double }, 163new TextLoader.Column(){ Name = "vin", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.String }, 164new TextLoader.Column(){ Name = "make", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.String }, 165new TextLoader.Column(){ Name = "model", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.String }, 166new TextLoader.Column(){ Name = "color", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.String }, 167new TextLoader.Column(){ Name = "MSRP", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Single }, 168new TextLoader.Column(){ Name = "engine size", Source = new TextLoader.Range[]{new TextLoader.Range(5) }, DataKind = DataKind.Double }, 169new TextLoader.Column(){ Name = "isElectric", Source = new TextLoader.Range[]{new TextLoader.Range(6) }, DataKind = DataKind.Boolean }, 173new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(0) }, DataKind = DataKind.String }, 174new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(1) }, DataKind = DataKind.String }, 175new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(2) }, DataKind = DataKind.Int32 }, 176new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(3) }, DataKind = DataKind.Int32 }, 177new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(4) }, DataKind = DataKind.Int32 }, 178new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(5) }, DataKind = DataKind.String }, 179new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(6) }, DataKind = DataKind.Int32 }, 180new TextLoader.Column(){ Name = "var_text", Source = new TextLoader.Range[]{new TextLoader.Range(7) }, DataKind = DataKind.String }, 181new TextLoader.Column(){ Name = "var_num", Source = new TextLoader.Range[]{new TextLoader.Range(8) }, DataKind = DataKind.Double },
Microsoft.ML.Data (25)
DataLoadSave\Database\DatabaseLoader.cs (1)
333internal static Range FromTextLoaderRange(TextLoader.Range range)
DataLoadSave\Text\LoadColumnAttribute.cs (4)
23Sources = new List<TextLoader.Range>(); 34Sources = new List<TextLoader.Range>(); 44Sources = new List<TextLoader.Range>(); 49internal List<TextLoader.Range> Sources;
DataLoadSave\Text\TextLoader.cs (15)
80public Column(string name, DataKind dataKind, Range[] source, KeyCount keyCount = null) 92private Column(string name, InternalDataKind kind, Range[] source, KeyCount keyCount = null) 131public Range[] Source; 174internal static bool TryParseSourceEx(string str, out Range[] ranges) 181ranges = new Range[strs.Length]; 184if ((ranges[i] = Range.Parse(strs[i])) == null) 221foreach (var src in Source) 243var first = sortedRanges[0]; 249var cur = sortedRanges[i]; 253var prev = sortedRanges[i - 1]; 348internal static Range Parse(string str) 352var res = new Range(); 787var range = col.Source[i]; 792ch.CheckUserArg(iinfoOther < 0, nameof(Range.AllOther), "At most one all other range can be specified"); 891ch.CheckUserArg(segsNew.Count > 0, nameof(Range.AllOther), "No index is selected as all other indexes.");
DataLoadSave\Text\TextLoaderSaverCatalog.cs (2)
31/// of slots in a column defined with <see cref="TextLoader.Range"/> with <see langword="null"/> maximum index. 80/// of slots in <see cref="TextLoader.Options.Columns"/> defined with <see cref="TextLoader.Range"/> with <see langword="null"/> maximum index.
DataLoadSave\Text\TextSaver.cs (3)
509TextLoader.Range[] source = null; 510TextLoader.Range range = null; 518source = new TextLoader.Range[1] { range };
Microsoft.ML.TorchSharp.Tests (1)
NerTests.cs (1)
207new TextLoader.Column("Label", DataKind.String, new TextLoader.Range[]