82 references to Trace
Microsoft.ML.AutoML (16)
AutoMLExperiment\AutoMLExperiment.cs (4)
272logger.Trace($"trial setting - {JsonSerializer.Serialize(trialSettings)}"); 305logger.Trace(exceptionMessage); 320logger.Trace($"trial fatal error - {JsonSerializer.Serialize(trialSettings)}, stop training"); 332logger.Trace($"trial cancelled - {JsonSerializer.Serialize(trialSettings)}, stop training");
AutoMLExperiment\IMonitor.cs (1)
61_logger.Trace(exception.Message + exception.StackTrace);
AutoMLExperiment\IPerformanceMonitor.cs (4)
84_logger?.Trace($"{typeof(DefaultPerformanceMonitor)} has been started"); 141_logger?.Trace($"current CPU: {cpuUsageInTotal}, current Memory(mb): {memoryUsage}"); 149_logger.Trace($"maximum memory usage: {_settings.MaximumMemoryUsageInMegaByte}, PeakMemoryUsage: {metrics.PeakMemoryUsage} trialIsCancelled: {trialCancellationTokenSource.IsCancellationRequested}"); 152_logger.Trace($"cancel current trial {trialSettings.TrialId} because it uses {metrics.PeakMemoryUsage} mb memory and the maximum memory usage is {d}");
AutoMLExperiment\ITrialResultManager.cs (1)
190_channel?.Trace($"load trial history from {filePath} successfully with {res.Count()} pieces of data");
Experiment\Experiment.cs (3)
99_logger.Trace(e.Message); 169_logger.Trace($"Evaluating pipeline {pipeline.ToString()}"); 253_logger.Trace($"{_history.Count}\t{runResult.Score}\t{stopwatch.Elapsed}\t{pipeline.ToString()}");
Tuner\SmacTuner.cs (3)
137_channel?.Trace("SMAC - start fitting random forest regressor"); 152_channel?.Trace("SMAC - end fitting random forest regressor"); 153_channel?.Trace($"SMAC - fitting metric: rsquare {eval.RSquared}");
Microsoft.ML.AutoML.Tests (1)
MLContextManagerTests.cs (1)
58channel.Trace("trace");
Microsoft.ML.Data (45)
Commands\CrossValidationCommand.cs (5)
153ch.Trace("Constructing data pipeline"); 180ch.Trace("Binding label and features columns"); 482ch.Trace("Constructing trainer"); 514ch.Trace("Constructing the validation pipeline"); 527ch.Trace("Scoring and evaluating");
Commands\DataCommand.cs (1)
264ch.Trace("Loading predictor");
Commands\EvaluateCommand.cs (5)
152ch.Trace("Binding columns"); 162ch.Trace("Creating evaluator"); 224ch.Trace("Creating loader"); 228ch.Trace("Binding columns"); 240ch.Trace("Creating evaluator");
Commands\ScoreCommand.cs (5)
102ch.Trace("Creating loader"); 109ch.Trace("Creating pipeline"); 134ch.Trace("Saving the data pipe"); 138ch.Trace("Creating saver"); 202ch.Trace("Scoring and saving data");
Commands\TestCommand.cs (3)
90ch.Trace("Constructing data pipeline"); 99ch.Trace("Binding columns"); 114ch.Trace("Scoring and evaluating");
Commands\TrainCommand.cs (12)
141ch.Trace("Constructing trainer"); 148ch.Trace("Constructing data pipeline"); 160ch.Trace("Binding columns"); 175ch.Trace("Constructing the validation pipeline"); 193ch.Trace("Constructing the test pipeline"); 269ch.Trace("Training"); 292ch.Trace("Constructing predictor from input model"); 297ch.Trace("Loading predictor"); 358ch2.Trace("Saving predictor"); 362ch2.Trace("Saving loader and transformations"); 502ch.Trace("Caching"); 509ch.Trace("Not caching");
Commands\TrainTestCommand.cs (7)
124ch.Trace("Constructing trainer"); 131ch.Trace("Constructing the training pipeline"); 148ch.Trace("Binding columns"); 161ch.Trace("Constructing the validation pipeline"); 179ch.Trace("Constructing the test pipeline"); 196ch.Trace("Constructing the testing pipeline"); 203ch.Trace("Scoring and evaluating");
DataLoadSave\Binary\BinaryLoader.cs (1)
1176ch.Trace("Not adding implicit shuffle, as it is unnecessary");
DataLoadSave\TransformerChain.cs (1)
229ch.Trace("Saving transformer chain");
EntryPoints\InputBase.cs (1)
85ch.Trace("Binding columns");
EntryPoints\TransformModelImpl.cs (1)
178ch.Trace("Saving root schema and transformations");
Evaluators\RankingEvaluator.cs (1)
910ch.Trace("Saving group-summary results");
Model\Pfa\SavePfaCommand.cs (1)
214ch.Trace("Saving the data pipe");
Transforms\TrainAndScoreTransformer.cs (1)
237ch.Trace("Constructing trainer");
Microsoft.ML.EntryPoints (2)
ScoreModel.cs (2)
81ch.Trace("Creating pipeline"); 131ch.Trace("Creating pipeline");
Microsoft.ML.FastTree (7)
FastTree.cs (3)
651ch.Trace($"numTotalTrees left: {numTotalTrees}"); 853ch.Trace("Computing scores fast"); 862ch.Trace("Computing scores slow");
TreeEnsembleFeaturizer.cs (4)
638ch.Trace("Loading model"); 644ch.Trace("Creating scorer"); 670ch.Trace("Creating TrainAndScoreTransform"); 712ch.Trace("Prepare data");
Microsoft.ML.OnnxConverter (1)
SaveOnnxCommand.cs (1)
419ch.Trace("Saving the data pipe");
Microsoft.ML.TorchSharp (6)
AutoFormerV2\ObjectDetectionTrainer.cs (2)
176ch.Trace($"Starting epoch {i}"); 179ch.Trace($"Finished epoch {i}");
Roberta\QATrainer.cs (2)
165ch.Trace($"Starting epoch {i}"); 168ch.Trace($"Finished epoch {i}");
TorchSharpBaseTrainer.cs (2)
111ch.Trace($"Starting epoch {i}"); 114ch.Trace($"Finished epoch {i}");
Microsoft.ML.Transforms (3)
LearnerFeatureSelection.cs (2)
275ch.Trace("Constructing trainer"); 289ch.Trace("Binding columns");
PermutationFeatureImportance.cs (1)
47ch.Trace("Scoring and evaluating baseline.");
Microsoft.ML.Vision (1)
ImageClassificationTrainer.cs (1)
565options.MetricsCallback = (ImageClassificationMetrics metric) => { logger.Trace(metric.ToString()); };