Warning

Experiment\Experiment.cs (2)

84_logger.Warning("Main MLContext has been canceled. Ending experiment..."); 105_logger.Warning(e.Message);

MLContextManagerTests.cs (1)

Utilities\ResourceManagerUtils.cs (2)

147ch.Warning($"{i + 1} - th try: Dowload {fileName} from {url} fail with exception {ex.Message}"); 186ch.Warning($"File '{filePath}' could not be deleted: {e.Message}");

Commands\CrossValidationCommand.cs (2)

151ch.Warning("No input model file specified or model file did not contain a predictor. The model state cannot be initialized."); 511ch.Warning("Trainer does not accept validation dataset.");

Commands\ScoreCommand.cs (1)

168ch.Warning(nameof(ImplOptions.OutputAllColumns) + "=+ always writes all columns irrespective of " + nameof(ImplOptions.OutputColumns) + " specified.");

Commands\TrainCommand.cs (4)

146ch.Warning("No input model file specified or model file did not contain a predictor. The model state cannot be initialized."); 171ch.Warning("Ignoring validationFile: Trainer does not accept validation dataset."); 275ch.Warning("Ignoring " + nameof(TrainCommand.Arguments.InputModelFile) + 474ch.Warning("A normalizer is needed for this trainer. Either add a normalizing transform or use the 'norm=Auto', 'norm=Yes' or 'norm=No' options.");

Commands\TrainTestCommand.cs (2)

129ch.Warning("No input model file specified or model file did not contain a predictor. The model state cannot be initialized."); 157ch.Warning("Ignoring validationFile: Trainer does not accept validation dataset.");

DataLoadSave\Binary\BinaryLoader.cs (1)

1168ch.Warning("Not adding implicit shuffle, as we did not know how to copy some types of values");

DataLoadSave\Text\TextLoader.cs (1)

1343ch.Warning(

DataLoadSave\Text\TextLoaderParser.cs (1)

220_ch.Warning("Suppressing further format error messages");

Evaluators\BinaryClassifierEvaluator.cs (1)

1071ch.Warning("Data does not contain a probability column. Will not output the Log-loss column");

Evaluators\EvaluatorUtils.cs (1)

1746ch.Warning(warning.ToString());

Model\Pfa\SavePfaCommand.cs (1)

171ch.Warning("We do not know how to save the predictor as PFA. Ignoring.");

Transforms\RangeFilter.cs (2)

113ch.Warning("specified min less than zero, will be ignored"); 118ch.Warning("specified max greater than one, will be ignored");

Transforms\ValueMapping.cs (5)

516ch.Warning($"Key '{key}' in mapping file is mapped to non key value '{value}'"); 522ch.Warning($"Found {countNonKeys} non key values in the file '{fileName}'"); 527ch.Warning($"Did not find any valid key values in the file '{fileName}'"); 578ch.Warning("Invalid key parsed, row will be skipped."); 588ch.Warning("Invalid value parsed for key {key}, row will be skipped.");

Transforms\ValueToKeyMappingTransformer.cs (2)

281ch.Warning("Explicit term list specified. Data file arguments will be ignored"); 505ch.Warning("Map from the term data resulted in an empty map.");

Transforms\ValueToKeyMappingTransformerImpl.cs (2)

217ch.Warning("Empty strings ignored in 'terms' specification"); 242ch.Warning("Empty strings ignored in 'term' specification");

OutputCombiners\BaseStacking.cs (1)

146ch.Warning("The trainer specified for stacking wants normalization, but we do not currently allow this.");

Selector\SubsetSelector\BaseSubsetSelector.cs (1)

87ch.Warning("Batch support is temporarily disabled");

Trainer\EnsembleTrainerBase.cs (1)

93ch.Warning("The base predictor count is greater than models count. Some of the base predictors will be ignored.");

JsonUtils\ExecuteGraphCommand.cs (1)

154ch.Warning(msg);

FastTree.cs (1)

1885ch.Warning(featureValuesWarning);

FastTreeTweedie.cs (1)

147ch.Warning("For Tweedie regression, early stopping does not yet use the Tweedie distribution.");

GamModelParameters.cs (2)

130ch.Warning("GAMs models written prior to ML.NET 0.6 are loaded with an incorrect Intercept. For these models, subtract the value of the intercept from the prediction."); 893ch.Warning("If you save the GAM model, only the GAM model, not the wrapping calibrator, will be saved.");

RandomForestClassification.cs (1)

231ch.Warning($"oneDAL decision forest doesn't support 'FeatureFraction'[per tree] != 1.0, changing it from {FastTreeTrainerOptions.FeatureFraction} to 1.0");

RandomForestRegression.cs (1)

370ch.Warning($"oneDAL decision forest doesn't support 'FeatureFraction'[per tree] != 1.0, changing it from {FastTreeTrainerOptions.FeatureFraction} to 1.0");

TreeEnsembleFeaturizer.cs (2)

636ch.Warning("Both an input model and a trainer were specified. Using the model file."); 807ch.Warning(

WrappedLightGbmTraining.cs (1)

29ch.Warning("Validation dataset not present, early stopping will be disabled.");

SaveOnnxCommand.cs (1)

377ch.Warning("We do not know how to save the predictor as ONNX. Ignoring.");

PartitionedFileLoader.cs (4)

478Ch.Warning($"Failed to load file {path} due to a loader exception. Moving on to the next file. Ex: {e.Message}"); 522Ch.Warning($"File at index {_fileOrder.Current} is missing a path. Loading of file is being skipped."); 707Ch.Warning($"Path {path} did not have {dirCount} directories necessary for parsing."); 735Ch.Warning($"Could not parse column values from the path {path}. Ex: {e.Message}");

FactorizationMachine\FactorizationMachineTrainer.cs (3)

453ch.Warning("Training data does not support shuffling, so ignoring request to shuffle"); 546ch.Warning($"Skipped {badExampleCount} examples with bad label/weight/features in training set"); 548ch.Warning($"Skipped {validBadExampleCount} examples with bad label/weight/features in validation set");

Standard\LogisticRegression\LbfgsPredictorBase.cs (2)

277ch.Warning("The training statistics cannot be computed with non-negativity constraint."); 634ch.Warning("Limiting data size for multi-threading");

Standard\LogisticRegression\LogisticRegression.cs (1)

309ch.Warning("The number of parameters is too large. Cannot hold the variance-covariance matrix in memory. " +

Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)

301ch.Warning("Training resulted in a one class predictor");

Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)

164ch.Warning("Stopping training because maximum number of rows have been traversed");

Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)

318ch.Warning($"{nameof(OneVersusAllTrainer.Options.UseProbabilities)} specified with {nameof(OneVersusAllTrainer.Options.PredictorType)} that can't produce probabilities.");

Standard\Online\OnlineLinear.cs (1)

318ch.Warning("Training data does not support shuffling, so ignoring request to shuffle");

Standard\SdcaBinary.cs (1)

252ch.Warning($"The L2 regularization constant must be at least {L2LowerBound}. In SDCA, the dual formulation " +

AdaptiveSingularSpectrumSequenceModeler.cs (4)

1189ch.Warning( 1239ch.Warning("Training cannot be completed because the input series for training does not have enough points."); 1314ch.Warning("The precise SSA model cannot be trained."); 1358ch.Warning("The trained model cannot be stablized.");

GcnTransform.cs (1)

232ch.Warning("subMean parameter is false while useStd is true. It is advisable to set subMean to true in case useStd is set to true.");

MissingValueReplacing.cs (1)

338ch.Warning("By-slot imputation can not be done on variable-length column");

MissingValueReplacingUtils.cs (2)

462ch.Warning("All values in this column are NAs, using default value for imputation"); 482ch.Warning("All values in this column are NAs, using default value for imputation");

OneHotHashEncoding.cs (1)

345ch.Warning("Invert hashing is being used with binary encoding.");

PermutationFeatureImportance.cs (3)

99ch.Warning( 131ch.Warning("All features have 0 weight thus can not do thorough evaluation"); 163ch.Warning("Detected no examples for evaluation.");

SvmLight\SvmLightLoader.cs (1)

705ch.Warning($"{missingCount} of {count + missingCount} detected keys were missing, unparsable or greater than {int.MaxValue}");

SvmLight\SvmLightSaver.cs (1)

119ch.Warning($"Column {column.Name} will not be saved. SVM-light saver saves the label column, feature column, optional group column and optional weight column.");

Text\LdaTransform.cs (1)

923ch.Warning($"Column '{columns[i].InputColumnName}' has skipped {rowCount - numDocArray[i]} of {rowCount} rows either empty or with negative, non-finite, or fractional values.");

Text\StopWordsRemovingTransformer.cs (2)

857ch.Warning("Empty strings ignored in 'stopwords' specification"); 889ch.Warning("Empty rows ignored in data file");

Text\WordEmbeddingsExtractor.cs (2)

690ch.Warning($"Parsing error while reading model file: '{_modelFileNameWithPath}', line number {lineNumber + skippedLinesCount}"); 700ch.Warning($"Dimension mismatch while reading model file: '{_modelFileNameWithPath}', line number {parsedLine.lineNumber}, expected dimension = {model.Dimension}, received dimension = {dimension}");