99 instantiations of ColumnInformation
Microsoft.ML.AutoML (24)
API\AutoCatalog.cs (2)
257columnInformation = columnInformation ?? new ColumnInformation(); 761var columnInfo = new ColumnInformation();
API\BinaryClassificationExperiment.cs (3)
249var columnInformation = new ColumnInformation() 259var columnInformation = new ColumnInformation() 305var columnInformation = new ColumnInformation()
API\ExperimentBase.cs (9)
73columnInformation = new ColumnInformation() 82columnInformation = new ColumnInformation() 162new ColumnInformation() { LabelColumnName = labelColumnName, GroupIdColumnName = DefaultColumnNames.GroupId } : 163new ColumnInformation() { LabelColumnName = labelColumnName }; 253new ColumnInformation() 260new ColumnInformation() 278columnInfo = columnInfo ?? new ColumnInformation(); 302columnInfo = columnInfo ?? new ColumnInformation(); 329columnInfo = columnInfo ?? new ColumnInformation();
API\MulticlassClassificationExperiment.cs (3)
237var columnInformation = new ColumnInformation() 247var columnInformation = new ColumnInformation() 295var columnInformation = new ColumnInformation()
API\RegressionExperiment.cs (3)
231var columnInformation = new ColumnInformation() 241var columnInformation = new ColumnInformation() 288var columnInformation = new ColumnInformation()
ColumnInference\ColumnInferenceApi.cs (2)
26var columnInfo = new ColumnInformation() { LabelColumnName = typeInference.Columns[labelColumnIndex].SuggestedName }; 34var columnInfo = new ColumnInformation() { LabelColumnName = labelColumn };
ColumnInference\ColumnInformationUtil.cs (1)
74var columnInfo = new ColumnInformation();
TrainerExtensions\TrainerExtensionUtil.cs (1)
210var columnInfo = new ColumnInformation();
Microsoft.ML.AutoML.Samples (2)
AutoFit\RankingExperiment.cs (1)
33new ColumnInformation()
AutoFit\RecommendationExperiment.cs (1)
36new ColumnInformation()
Microsoft.ML.AutoML.Tests (58)
AutoFitTests.cs (10)
60.Execute(trainData, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }); 87.Execute(trainData, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }); 437new ColumnInformation() 443new ColumnInformation() 491new ColumnInformation() 533new ColumnInformation() 603new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }) 610new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }) 617new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }) 655.Execute(trainData, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel });
ColumnInferenceTests.cs (5)
109var columnInfo = new ColumnInformation() 154new ColumnInformation() 174new ColumnInformation() 189var columnInfo = new ColumnInformation() { LabelColumnName = DatasetUtil.MlNetGeneratedRegressionLabel }; 220var inputColumnInformation = new ColumnInformation();
ColumnInferenceValidationUtilTests.cs (1)
28var columnInfo = new ColumnInformation();
ColumnInformationUtilTests.cs (2)
22var columnInfo = new ColumnInformation() 53var columnInfo = new ColumnInformation()
GetNextPipelineTests.cs (3)
28var columns = DatasetColumnInfoUtil.GetDatasetColumnInfo(context, uciAdult, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }); 53var columns = DatasetColumnInfoUtil.GetDatasetColumnInfo(context, uciAdult, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }); 75var allAvailableTrainers = RecipeInference.AllowedTrainers(context, task, new ColumnInformation(), null);
InferredPipelineTests.cs (1)
23var columnInfo = new ColumnInformation();
PurposeInferenceTests.cs (1)
37var purposes = PurposeInference.InferPurposes(context, data, new ColumnInformation());
SuggestedPipelineBuilderTests.cs (2)
70new ColumnInformation()); 77new ColumnInformation());
TrainerExtensionsTests.cs (12)
26var columnInfo = new ColumnInformation(); 55var columnInfo = new ColumnInformation(); 72var pipelineNode = new MatrixFactorizationExtension().CreatePipelineNode(sweepParams, new ColumnInformation()); 108var pipelineNode = new LightGbmBinaryExtension().CreatePipelineNode(sweepParams, new ColumnInformation()); 153var pipelineNode = new SdcaLogisticRegressionBinaryExtension().CreatePipelineNode(sweepParams, new ColumnInformation()); 181new ColumnInformation()); 201var columnInfo = new ColumnInformation() 236var pipelineNode = new AveragedPerceptronBinaryExtension().CreatePipelineNode(null, new ColumnInformation() { LabelColumnName = "L" }); 257var pipelineNode = new FastForestOvaExtension().CreatePipelineNode(null, new ColumnInformation()); 286var columnInfo = new ColumnInformation() 404var trainers = RecipeInference.AllowedTrainers(new MLContext(1), TaskKind.BinaryClassification, new ColumnInformation(), null); 412var trainers = RecipeInference.AllowedTrainers(new MLContext(1), TaskKind.BinaryClassification, new ColumnInformation(), allowList);
UserInputValidationTests.cs (20)
29var ex = Assert.Throws<ArgumentNullException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(null, new ColumnInformation(), null, TaskKind.Regression)); 37new ColumnInformation() { LabelColumnName = null }, null, TaskKind.Regression)); 49new ColumnInformation() { LabelColumnName = columnName }, null, task)); 63new ColumnInformation() { LabelColumnName = mistypedColumnName }, null, task)); 73var columnInfo = new ColumnInformation(); 86var columnInfo = new ColumnInformation(); 96var columnInfo = new ColumnInformation(); 119new ColumnInformation() { LabelColumnName = "0" }, validData, task)); 142new ColumnInformation() { LabelColumnName = "0" }, validData, task)); 165new ColumnInformation() { LabelColumnName = "0" }, validData, TaskKind.Regression)); 208var ex = Assert.Throws<ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), null, TaskKind.Regression)); 223var columnInfo = new ColumnInformation(); 288UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), 302var ex = Assert.Throws<ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), 315var ex = Assert.Throws<ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), 338var ex = Assert.Throws<ArgumentException>(() => UserInputValidationUtil.ValidateExperimentExecuteArgs(trainingData, new ColumnInformation(), 368UserInputValidationUtil.ValidateExperimentExecuteArgs(trainingData, new ColumnInformation(), validationData, TaskKind.BinaryClassification); 388UserInputValidationUtil.ValidateExperimentExecuteArgs(dataView, new ColumnInformation(), null, task); 404new ColumnInformation() { LabelColumnName = mistypedColumnName }, null, task)); 419new ColumnInformation() { LabelColumnName = mistypedColumnName }, null, task));
Utils\TaskAgnosticAutoFit.cs (1)
48var columnInformation = new ColumnInformation() { LabelColumnName = label };
Microsoft.ML.CodeGenerator.Tests (15)
ApprovalTests\ConsoleCodeGeneratorTests.cs (12)
585ColumnInformation = new ColumnInformation() 603var trainer1 = new SuggestedTrainer(context, new LightGbmBinaryExtension(), new ColumnInformation(), hyperparams1); 627ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 640var trainer1 = new SuggestedTrainer(context, new LightGbmRegressionExtension(), new ColumnInformation(), hyperparams1); 664ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 713ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 755ColumnInformation = new ColumnInformation() { LabelColumnName = "Label", GroupIdColumnName = "GroupId" } 802ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 846ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 1014ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" } 1098var trainer1 = new SuggestedTrainer(context, new FastForestOvaExtension(), new ColumnInformation(), hyperparams1); 1123ColumnInformation = new ColumnInformation() { LabelColumnName = "Label" }
CodeGenTests.cs (1)
109ColumnInformation = new ColumnInformation()
UtilTest.cs (2)
134ColumnInformation = new ColumnInformation() 169ColumnInformation = new ColumnInformation()
151 references to ColumnInformation
Microsoft.ML.AutoML (135)
API\AutoCatalog.cs (9)
222/// The <see cref="ColumnInformation"/> contains the inferred purpose of each column in the dataset. 224/// The <see cref="ColumnInformation"/> can be inspected and modified (or kept as is) and used by an AutoML experiment. 250/// The <see cref="ColumnInformation"/> contains the inferred purpose of each column in the dataset. 252/// The <see cref="ColumnInformation"/> can be inspected and modified (or kept as is) and used by an AutoML experiment. 254public ColumnInferenceResults InferColumns(string path, ColumnInformation columnInformation, char? separatorChar = null, bool? allowQuoting = null, 280/// The <see cref="ColumnInformation"/> contains the inferred purpose of each column in the dataset. 282/// The <see cref="ColumnInformation"/> can be inspected and modified (or kept as is) and used by an AutoML experiment. 761var columnInfo = new ColumnInformation(); 815public SweepablePipeline Featurizer(IDataView data, ColumnInformation columnInformation, string outputColumnName = "Features")
API\BinaryClassificationExperiment.cs (7)
164public override ExperimentResult<BinaryClassificationMetrics> Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<BinaryClassificationMetrics>> progressHandler = null) 214public override ExperimentResult<BinaryClassificationMetrics> Execute(IDataView trainData, IDataView validationData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<BinaryClassificationMetrics>> progressHandler = null) 249var columnInformation = new ColumnInformation() 259var columnInformation = new ColumnInformation() 268public override CrossValidationExperimentResult<BinaryClassificationMetrics> Execute(IDataView trainData, uint numberOfCVFolds, ColumnInformation columnInformation = null, IEstimator<ITransformer> preFeaturizer = null, IProgress<CrossValidationRunDetail<BinaryClassificationMetrics>> progressHandler = null) 305var columnInformation = new ColumnInformation() 324private SweepablePipeline CreateBinaryClassificationPipeline(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null)
API\ColumnInference.cs (5)
31/// <para>Contains the inferred purposes of each column. See <see cref="AutoML.ColumnInformation"/> for more details.</para> 33/// See <typeref cref="ExperimentBase{TMetrics, TExperimentSettings}.Execute(IDataView, ColumnInformation, IEstimator{ITransformer}, System.IProgress{RunDetail{TMetrics}})" /> 37public ColumnInformation ColumnInformation { get; internal set; } 47/// <para><see cref="ColumnInformation"/> can be fed to the AutoML API when running an experiment. 48/// See <typeref cref="ExperimentBase{TMetrics, TExperimentSettings}.Execute(IDataView, ColumnInformation, IEstimator{ITransformer}, System.IProgress{RunDetail{TMetrics}})" />
API\ExperimentBase.cs (9)
53/// See <see cref="ColumnInformation.SamplingKeyColumnName"/> for more information.</param> 70ColumnInformation columnInformation; 109public virtual ExperimentResult<TMetrics> Execute(IDataView trainData, ColumnInformation columnInformation, 188ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, 218ColumnInformation columnInformation = null, IEstimator<ITransformer> preFeaturizer = null, 273ColumnInformation columnInfo, 297ColumnInformation columnInfo, 324ColumnInformation columnInfo, 342private ExperimentResult<TMetrics> Execute(ColumnInformation columnInfo,
API\MulticlassClassificationExperiment.cs (7)
148public override ExperimentResult<MulticlassClassificationMetrics> Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<MulticlassClassificationMetrics>> progressHandler = null) 199public override ExperimentResult<MulticlassClassificationMetrics> Execute(IDataView trainData, IDataView validationData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<MulticlassClassificationMetrics>> progressHandler = null) 237var columnInformation = new ColumnInformation() 247var columnInformation = new ColumnInformation() 256public override CrossValidationExperimentResult<MulticlassClassificationMetrics> Execute(IDataView trainData, uint numberOfCVFolds, ColumnInformation columnInformation = null, IEstimator<ITransformer> preFeaturizer = null, IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>> progressHandler = null) 295var columnInformation = new ColumnInformation() 314private SweepablePipeline CreateMulticlassClassificationPipeline(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null)
API\RegressionExperiment.cs (7)
145public override ExperimentResult<RegressionMetrics> Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<RegressionMetrics>> progressHandler = null) 194public override ExperimentResult<RegressionMetrics> Execute(IDataView trainData, IDataView validationData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<RegressionMetrics>> progressHandler = null) 231var columnInformation = new ColumnInformation() 241var columnInformation = new ColumnInformation() 250public override CrossValidationExperimentResult<RegressionMetrics> Execute(IDataView trainData, uint numberOfCVFolds, ColumnInformation columnInformation = null, IEstimator<ITransformer> preFeaturizer = null, IProgress<CrossValidationRunDetail<RegressionMetrics>> progressHandler = null) 288var columnInformation = new ColumnInformation() 297private SweepablePipeline CreateRegressionPipeline(IDataView trainData, ColumnInformation columnInformation, IEstimator<ITransformer> preFeaturizer = null)
ColumnInference\ColumnInferenceApi.cs (4)
26var columnInfo = new ColumnInformation() { LabelColumnName = typeInference.Columns[labelColumnIndex].SuggestedName }; 34var columnInfo = new ColumnInformation() { LabelColumnName = labelColumn }; 38public static ColumnInferenceResults InferColumns(MLContext context, string path, ColumnInformation columnInfo, 47public static ColumnInferenceResults InferColumns(MLContext context, string path, ColumnInformation columnInfo, bool hasHeader,
ColumnInference\ColumnInferenceValidationUtil.cs (1)
14public static void ValidateSpecifiedColumnsExist(ColumnInformation columnInfo,
ColumnInference\ColumnInformationUtil.cs (6)
12internal static ColumnPurpose? GetColumnPurpose(this ColumnInformation columnInfo, string columnName) 72internal static ColumnInformation BuildColumnInfo(IEnumerable<(string name, ColumnPurpose purpose)> columnPurposes) 74var columnInfo = new ColumnInformation(); 119public static ColumnInformation BuildColumnInfo(IEnumerable<DatasetColumnInfo> columns) 128public static IEnumerable<string> GetColumnNames(ColumnInformation columnInformation) 145public static IDictionary<ColumnPurpose, int> CountColumnsByPurpose(ColumnInformation columnInformation)
ColumnInference\PurposeInference.cs (1)
242ColumnInformation columnInfo)
Experiment\RecipeInference.cs (1)
16ColumnInformation columnInfo, IEnumerable<TrainerName> trainerAllowList)
Experiment\SuggestedPipeline.cs (1)
89var columnInfo = TrainerExtensionUtil.BuildColumnInfo(pipelineNode.Properties);
Experiment\SuggestedTrainer.cs (2)
19private readonly ColumnInformation _columnInfo; 22ColumnInformation columnInfo,
TrainerExtensions\BinaryTrainerExtensions.cs (18)
27ColumnInformation columnInfo, IDataView validationSet) 47public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 72ColumnInformation columnInfo, IDataView validationSet) 79public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 94ColumnInformation columnInfo, IDataView validationSet) 101public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 116ColumnInformation columnInfo, IDataView validationSet) 122public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 137ColumnInformation columnInfo, IDataView validationSet) 143public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 158ColumnInformation columnInfo, IDataView validationSet) 164public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 179ColumnInformation columnInfo, IDataView validationSet) 186public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 201ColumnInformation columnInfo, IDataView validationSet) 208public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 223ColumnInformation columnInfo, IDataView validationSet) 229public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\ITrainerExtension.cs (2)
17IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo, IDataView validationSet = null); 19PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo);
TrainerExtensions\MultiTrainerExtensions.cs (22)
26ColumnInformation columnInfo, IDataView validationSet) 32public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 48ColumnInformation columnInfo, IDataView validationSet) 54public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 68ColumnInformation columnInfo, IDataView validationSet) 74public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 91ColumnInformation columnInfo, IDataView validationSet) 97public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 111ColumnInformation columnInfo, IDataView validationSet) 117public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 134ColumnInformation columnInfo, IDataView validationSet) 140public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 156ColumnInformation columnInfo, IDataView validationSet) 162public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 178ColumnInformation columnInfo, IDataView validationSet) 184public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 200ColumnInformation columnInfo, IDataView validationSet) 206public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 220ColumnInformation columnInfo, IDataView validationSet) 227public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 239ColumnInformation columnInfo, IDataView validationSet) 245public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RankingTrainerExtensions.cs (4)
22ColumnInformation columnInfo, IDataView validationSet) 30public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 45ColumnInformation columnInfo, IDataView validationSet) 52public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RecommendationTrainerExtensions.cs (2)
15ColumnInformation columnInfo, IDataView validationSet) 25public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RegressionTrainerExtensions.cs (16)
23ColumnInformation columnInfo, IDataView validationSet) 30public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 45ColumnInformation columnInfo, IDataView validationSet) 52public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 67ColumnInformation columnInfo, IDataView validationSet) 74public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 89ColumnInformation columnInfo, IDataView validationSet) 95public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 110ColumnInformation columnInfo, IDataView validationSet) 116public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 131ColumnInformation columnInfo, IDataView validationSet) 138public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 153ColumnInformation columnInfo, IDataView validationSet) 160public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 175ColumnInformation columnInfo, IDataView validationSet) 181public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\TrainerExtensionCatalog.cs (1)
64IEnumerable<TrainerName> allowList, ColumnInformation columnInfo)
TrainerExtensions\TrainerExtensionUtil.cs (4)
81public static TOptions CreateLightGbmOptions<TOptions, TOutput, TTransformer, TModel>(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 101IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) 208public static ColumnInformation BuildColumnInfo(IDictionary<string, object> props) 210var columnInfo = new ColumnInformation();
Utils\DatasetColumnInfo.cs (1)
27public static DatasetColumnInfo[] GetDatasetColumnInfo(MLContext context, IDataView data, ColumnInformation columnInfo)
Utils\UserInputValidationUtil.cs (5)
28public static void ValidateExperimentExecuteArgs(IDataView trainData, ColumnInformation columnInformation, 36public static void ValidateInferColumnsArgs(string path, ColumnInformation columnInformation) 69private static void ValidateTrainData(IDataView trainData, ColumnInformation columnInformation) 105private static void ValidateColumnInformation(IDataView trainData, ColumnInformation columnInformation, TaskKind task) 123private static void ValidateColumnInformation(ColumnInformation columnInformation)
Microsoft.ML.AutoML.Tests (16)
ColumnInferenceTests.cs (3)
109var columnInfo = new ColumnInformation() 189var columnInfo = new ColumnInformation() { LabelColumnName = DatasetUtil.MlNetGeneratedRegressionLabel }; 220var inputColumnInformation = new ColumnInformation();
ColumnInferenceValidationUtilTests.cs (1)
28var columnInfo = new ColumnInformation();
ColumnInformationUtilTests.cs (2)
22var columnInfo = new ColumnInformation() 53var columnInfo = new ColumnInformation()
InferredPipelineTests.cs (1)
23var columnInfo = new ColumnInformation();
TrainerExtensionsTests.cs (4)
26var columnInfo = new ColumnInformation(); 55var columnInfo = new ColumnInformation(); 201var columnInfo = new ColumnInformation() 286var columnInfo = new ColumnInformation()
UserInputValidationTests.cs (4)
73var columnInfo = new ColumnInformation(); 86var columnInfo = new ColumnInformation(); 96var columnInfo = new ColumnInformation(); 223var columnInfo = new ColumnInformation();
Utils\TaskAgnosticAutoFit.cs (1)
48var columnInformation = new ColumnInformation() { LabelColumnName = label };