Assert

36 references to Assert

Microsoft.ML.AutoML (1)

AutoMLExperiment\AutoMLExperiment.cs (1)

93_context.Assert(maxModel > 0, "maxModel has to be greater than 0");

Microsoft.ML.Core (2)

Data\Repository.cs (2)

160_ectx.Assert(false, "Closing entries should not throw!"); 205_ectx.Assert(false, "Why wasn't the entry found?");

Microsoft.ML.Data (13)

Commands\CrossValidationCommand.cs (1)

528ch.Assert(_scorer == null || _scorer is ICommandLineComponentFactory, "CrossValidationCommand should only be used from the command line.");

Commands\ScoreCommand.cs (1)

111ch.Assert(scorer == null || scorer is ICommandLineComponentFactory, "ScoreCommand should only be used from the command line.");

Commands\TestCommand.cs (1)

115ch.Assert(ImplOptions.Scorer == null || ImplOptions.Scorer is ICommandLineComponentFactory, "TestCommand should only be used from the command line.");

Commands\TrainTestCommand.cs (1)

204ch.Assert(ImplOptions.Scorer == null || ImplOptions.Scorer is ICommandLineComponentFactory, "TrainTestCommand should only be used from the command line.");

DataLoadSave\LegacyCompositeDataLoader.cs (2)

436_host.Assert(transforms[i].Transform.Source == transforms[i - 1].Transform, "Transforms are not linked"); 439_host.Assert(!(srcLoader is LegacyCompositeDataLoader), "Can't have composite source loader");

DataView\CacheDataView.cs (3)

407_host.Assert(_rowCount == -1 || rowCount <= _rowCount, inconsistentError); 419_host.Assert(_rowCount == -1 || rowCount <= _rowCount, inconsistentError); 426_host.Assert(rc == -1 || rc == rowCount, inconsistentError);

DataView\LambdaColumnMapper.cs (1)

144Host.Assert(false, "Shouldn't serialize this!");

DataView\LambdaFilter.cs (1)

100Host.Assert(false, "Shouldn't serialize this!");

DataView\RowToRowMapperTransform.cs (1)

260Host.Assert(column.Index < activeArr.Length, $"The columns {activeColumns.Select(c => c.Name)} are not suitable for the OutputSchema.");

Evaluators\EvaluatorUtils.cs (1)

1399host.Assert(labelNames.IsDense, "Slot names vector must be dense");

Microsoft.ML.Ensemble (1)

Selector\SubsetSelector\BaseSubsetSelector.cs (1)

59Host.Assert(Data != null, "Must call Initialize first!");

Microsoft.ML.FastTree (1)

GamModelParameters.cs (1)

268Host.Assert(0 <= featureIndex && featureIndex < NumberOfShapeFunctions, "Index out of range.");

Microsoft.ML.KMeansClustering (2)

KMeansPlusPlusTrainer.cs (2)

1279ch.Assert(MaxInstancesToAccelerate >= 0, 1658host.Assert(heaps[i].Count <= numSamples, "heaps[i].Count must not be greater than numSamples");

Microsoft.ML.LightGbm (3)

LightGbmMulticlassTrainer.cs (2)

215Host.Assert(_numberOfClassesIncludingNan > 1, "Must know the number of classes before creating a predictor."); 216Host.Assert(TrainedEnsemble.NumTrees % _numberOfClassesIncludingNan == 0, "Number of trees should be a multiple of number of classes.");

LightGbmTrainerBase.cs (1)

728ch.Assert(((ITrainer)this).PredictionKind != PredictionKind.MulticlassClassification || GbmOptions.ContainsKey("num_class"),

Microsoft.ML.StandardTrainers (3)

Standard\ModelStatistics.cs (3)

250Env.Assert(coeffStdError.Length > 0, nameof(coeffStdError)); 251Env.Assert(weights.Length > 0, nameof(weights)); 435Env.Assert(names.Length > 0, "FeatureColumnName has no metadata.");

Microsoft.ML.Sweeper (1)

Algorithms\SmacSweeper.cs (1)

130_host.Assert(view.GetRowCount() == targets.Length, "This data view will have as many rows as there have been evaluations");

Microsoft.ML.TimeSeries (2)

TrajectoryMatrix.cs (2)

70_ectx.Assert(0 <= end && end < _seriesLength, "The end index must be in [0, seriesLength)."); 71_ectx.Assert(0 <= start && start <= end, "The start index must be in [0, end index].");

Microsoft.ML.Transforms (7)

Expression\LambdaBinder.cs (2)

186_host.Assert(_lambda == null, "Can't support nested lambdas"); 1538_host.Assert(false, "Unexpected type in Convert");

ExpressionTransformer.cs (2)

446ectx.Assert(false, "Unsupported src cardinality"); 588ectx.Assert(false, "Unsupported src cardinality");

GcnTransform.cs (2)

424Host.Assert(false, "Unsupported normalizer type"); 468Host.Assert(false, "Unsupported normalizer type");

Text\LdaTransform.cs (1)

452ectx.Assert(actualSize == 2 * docSize + 1, string.Format("The doc size are distinct. Actual: {0}, Expected: {1}", actualSize, 2 * docSize + 1));