58 references to Warning
Microsoft.ML.AutoML (3)
Experiment\Experiment.cs (3)
73_logger.Warning("Allocated time for Experiment of {0} seconds has elapsed with {1} models run. Ending experiment...", 199_logger.Warning(_operationCancelledMessage, e.Message); 211_logger.Warning(_operationCancelledMessage, e.Message);
Microsoft.ML.Data (25)
Commands\CrossValidationCommand.cs (1)
232ch.Warning("Detected columns of variable length: {0}. Consider setting collateMetrics- for meaningful per-Folds results.",
Commands\ScoreCommand.cs (1)
195ch.Warning("The column '{0}' will not be written as it has unsavable column type.",
Commands\TypeInfoCommand.cs (1)
134ch.Warning("The following kinds did not have an identity conversion: {0}",
DataLoadSave\Binary\BinaryLoader.cs (5)
361ch.Warning("Cannot interpret metadata of kind '{0}' because {1} unrecognized", 789ch.Warning("BinaryLoader does not know how to interpret {0} columns", Utils.Size(_deadColumns)); 877ch.Warning("BinaryLoader does not know how to interpret {0} columns", Utils.Size(_deadColumns)); 1141ch.Warning("Cannot interpret column '{0}' at index {1} because {2} unrecognized", 2155ch.Warning("Stream is {0} bytes, IDV is {1} bytes. This is legal but unusual.",
DataLoadSave\Binary\BinarySaver.cs (1)
293ch.Warning("Could not get codec for type {0}, dropping column '{1}' index {2} metadata kind '{3}'",
DataLoadSave\Binary\CodecFactory.cs (1)
188ch.Warning("Did not recognize value codec signature '{0}'", signature);
DataLoadSave\LegacyCompositeDataLoader.cs (1)
153ch.Warning("The transform with tag '{0}' already exists in the chain", pair.Key);
DataLoadSave\Text\TextLoaderParser.cs (2)
214_ch.Warning("Format error at {0}({1},{2})-({1},{3}): {4}", 218_ch.Warning("Format error: {0}", msg);
DataLoadSave\Text\TextSaver.cs (1)
489ch.Warning("Column '{0}' is variable length, so it must be the last, or the file will be unreadable. Consider switching to binary format or use xf=Choose to make '{0}' the last column.", name);
Dirty\ModelParametersBase.cs (1)
88ch.Warning(NormalizerWarningFormat, typePredictor, Environment.NewLine);
EntryPoints\EntryPointNode.cs (2)
548ch.Warning(warning, columnRole, colName, inputColName); 918ch.Warning("Node '{0}' has unexpected fields that are ignored: {1}", id, string.Join(", ", unexpectedFields.Select(x => x.Name)));
Evaluators\EvaluatorUtils.cs (1)
1021ch.Warning("Vector metric '{0}' has different lengths in different folds and will not be averaged for overall results.", metricName);
Model\Pfa\SavePfaCommand.cs (1)
112ch.Warning("Had to stop walkback of pipeline at {0} since it cannot save itself as PFA", transform.GetType().Name);
Scorers\SchemaBindablePredictorWrapper.cs (1)
495ch.Warning("Scoring predictor of kind '{0}' as '{1}'.", Predictor.PredictionKind, PredictionKind.BinaryClassification);
Transforms\ValueToKeyMappingTransformer.cs (2)
432ch.Warning( 638ch.Warning("Term map for output column '{0}' contains no entries.", infos[iinfo].Name);
Transforms\ValueToKeyMappingTransformerImpl.cs (3)
221ch.Warning($"Duplicate item '{term}' ignored in 'terms' specification", term); 244ch.Warning("Item '{0}' ignored in 'term' specification since it could not be parsed as '{1}'", term, ItemType); 246ch.Warning("Duplicate item '{0}' ignored in 'term' specification", term);
Microsoft.ML.Ensemble (1)
Trainer\EnsembleTrainerBase.cs (1)
187ch.Warning("{0} of {1} trainings failed.", Utils.Size(Trainers) - modelSize, Utils.Size(Trainers));
Microsoft.ML.FastTree (6)
FastTree.cs (5)
740ch.Warning("{0} of the boosting iterations failed to grow a tree. This is commonly because the " + 1445ch.Warning("{0} of {1} examples will be skipped due to missing feature values", 1618ch.Warning("This is not ranking problem, Group Id '{0}' column will be ignored", examples.Schema.Group.Value.Name); 1832ch.Warning("This is not ranking problem, Group Id '{0}' column will be ignored", _data.Schema.Group.Value.Name); 1898ch.Warning("Skipped {0} instances with missing features during training", missingInstances);
TreeEnsemble\InternalRegressionTree.cs (1)
572ch.Warning(
Microsoft.ML.KMeansClustering (2)
KMeansPlusPlusTrainer.cs (2)
267ch.Warning( 362ch.Warning("Expected time to initialize all {0} clusters is {1:0} minutes. "
Microsoft.ML.Maml (1)
HelpCommand.cs (1)
503ch.Warning("Unprintable default value for component {0}, character valued field {1}: {2}", name,
Microsoft.ML.Mkl.Components (2)
OlsLinearRegression.cs (2)
267ch.Warning("Skipped {0} instances with missing features/labelColumn during training", cursor.SkippedRowCount); 359ch.Warning("Skipped {0} instances with missing features/labelColumn during training", cursor.SkippedRowCount);
Microsoft.ML.OneDal (1)
OneDalUtils.cs (1)
87channel.Warning("Skipped {0} instances with missing features/labelColumn during training", cursor.SkippedRowCount);
Microsoft.ML.OnnxConverter (1)
SaveOnnxCommand.cs (1)
151ch.Warning("Had to stop walkback of pipeline at {0} since it cannot save itself as ONNX.", transform.GetType().Name);
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
238ch.Warning("Skipped {0} instances with missing features/weights during training", numBad);
Microsoft.ML.Recommender (1)
SafeTrainingAndModelBuffer.cs (1)
308ch.Warning("Skipped {0} instances with missing/negative features during data loading", numSkipped);
Microsoft.ML.StandardTrainers (11)
LdSvm\LdSvmTrainer.cs (1)
523Ch.Warning("Skipped {0} rows with missing feature/label values", cursor.SkippedRowCount);
Standard\LogisticRegression\LbfgsPredictorBase.cs (4)
537ch.Warning("Skipped {0} instances with missing features/label/weight during training", cursor.SkippedRowCount); 644ch.Warning("Skipped {0} instances with missing features/label/weight during training", numBad); 656ch.Warning("Too few instances to use {0} threads, decreasing to {1} thread(s)", numThreads, numNew); 704ch.Warning("Premature convergence occurred. The OptimizationTolerance may be set too small. {0}", e.Message);
Standard\Online\OnlineLinear.cs (1)
345ch.Warning(
Standard\SdcaBinary.cs (5)
449ch.Warning("Skipped {0} instances with missing features/label during training", numBad); 1927ch.Warning("{0} {1} set too high; reducing to {1}", nameof(LearningRate), 2142ch.Warning("Skipped {0} instances with missing features during training", cursor.BadFeaturesRowCount); 2144ch.Warning("Skipped {0} instances with missing label during training", cursor.BadLabelCount); 2146ch.Warning("Skipped {0} instances with missing weight during training", cursor.BadWeightCount);
Microsoft.ML.Transforms (2)
MutualInformationFeatureSelection.cs (1)
181ch.Warning("Column '{0}' specified multiple time.", col);
Text\StopWordsRemovingTransformer.cs (1)
314ch.Warning(wrnMsg, missings.ToString());
Microsoft.ML.Vision (1)
DnnRetrainTransform.cs (1)
363ch.Warning("Not training on the last batch. The batch size is less than {0}.", options.BatchSize);