116 references to Info
Microsoft.ML.AutoML (7)
AutoMLExperiment\IMonitor.cs (5)
43
_logger.
Info
($"Update Best Trial - Id: {result.TrialSettings.TrialId} - Metric: {result.Metric} - Pipeline: {_pipeline.ToString(result.TrialSettings.Parameter)}");
50
_logger.
Info
($"Update Completed Trial - Id: {result.TrialSettings.TrialId} - Raw Metric: {result.Metric + fResult.FairnessMetric} - Fairness Metric: {-fResult.FairnessMetric} - Total Metric: {result.Metric} - Pipeline: {this._pipeline} - Duration: {result.DurationInMilliseconds}");
54
_logger.
Info
($"Update Completed Trial - Id: {result.TrialSettings.TrialId} - Metric: {result.Metric} - Pipeline: {this._pipeline} - Duration: {result.DurationInMilliseconds}");
62
_logger.
Info
($"Update Failed Trial - Id: {settings.TrialId} - Pipeline: {_pipeline.ToString(settings.Parameter)}");
67
_logger.
Info
($"Update Running Trial - Id: {setting.TrialId}");
AutoMLExperiment\IStopTrainingManager.cs (1)
36
_channel?.
Info
("cancel training because cancellation token is invoked...");
Experiment\Experiment.cs (1)
102
_logger.
Info
(e.Message);
Microsoft.ML.AutoML.Tests (3)
AutoMLExperimentTests.cs (2)
447
_logger.
Info
("Update Running Trial");
451
_logger.
Info
("Update Completed Trial");
MLContextManagerTests.cs (1)
60
channel.
Info
("info");
Microsoft.ML.Core (2)
Utilities\ResourceManagerUtils.cs (2)
164
ch.
Info
($"Downloading {fileName} from {url} to {filePath}");
291
ch.
Info
($"{fileName}: Download complete");
Microsoft.ML.Data (39)
Commands\CrossValidationCommand.cs (1)
128
ch.
Info
(cmd);
Commands\SavePredictorCommand.cs (6)
152
ch.
Info
("Saving predictor as binary");
162
ch.
Info
("Saving predictor summary");
171
ch.
Info
("Saving predictor as text");
179
ch.
Info
("Saving predictor as ini");
195
ch.
Info
("Saving predictor as code");
204
ch.
Info
("No files saved. Must specify at least one output file.");
Commands\ShowSchemaCommand.cs (1)
75
ch.
Info
(str);
Commands\TrainCommand.cs (4)
119
ch.
Info
(cmd);
454
ch.
Info
("Not adding a normalizer.");
469
ch.
Info
("Not adding a normalizer.");
478
ch.
Info
("Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.");
Commands\TrainTestCommand.cs (1)
102
ch.
Info
(cmd);
Commands\TypeInfoCommand.cs (1)
129
ch.
Info
(srcStrings + " | " + dstStrings);
DataLoadSave\Binary\BinaryLoader.cs (1)
2229
ch.
Info
(" "); // REVIEW: Ugh. Better way? Otherwise it's all smushed up.
DataLoadSave\Database\DatabaseLoader.cs (1)
490
ch.
Info
("Duplicate name(s) specified - later columns will hide earlier ones");
DataLoadSave\LegacyCompositeDataLoader.cs (1)
359
ch.
Info
("The data model doesn't contain transforms.");
DataLoadSave\Text\TextLoader.cs (1)
766
ch.
Info
("Duplicate name(s) specified - later columns will hide earlier ones");
DataLoadSave\Text\TextLoaderParser.cs (2)
190
_ch.
Info
(" Suppressing further bad value messages");
201
_ch.
Info
(" Suppressing further bad value messages");
Evaluators\AnomalyDetectionEvaluator.cs (1)
776
ch.
Info
(MetricWriter.GetPerFoldResults(Host, fold, out weightedFold));
Evaluators\EvaluatorUtils.cs (1)
1708
ch.
Info
(sb.ToString());
Evaluators\MamlEvaluator.cs (2)
179
ch.
Info
(weightedMetrics);
180
ch.
Info
(unweightedMetrics);
Evaluators\MulticlassClassificationEvaluator.cs (4)
945
ch.
Info
(weightedConf);
946
ch.
Info
(weightedFold);
948
ch.
Info
(unweightedConf);
949
ch.
Info
(unweightedFold);
Evaluators\MultiOutputRegressionEvaluator.cs (1)
766
ch.
Info
(sb.ToString());
Evaluators\QuantileRegressionEvaluator.cs (2)
502
ch.
Info
(weightedMetrics);
503
ch.
Info
(unweightedMetrics);
Prediction\Calibrator.cs (7)
849
ch.
Info
("Not training a calibrator because it is not needed.");
855
ch.
Info
("Not training a calibrator because a valid calibrator trainer was not provided.");
861
ch.
Info
("Not training a calibrator because there is no features column.");
867
ch.
Info
("Not training a calibrator because there is no label column.");
873
ch.
Info
("Not training a calibrator because the predictor does not implement IPredictorProducing<float>.");
883
ch.
Info
("Not training a calibrator because the predictor does not output a score column.");
960
ch.
Info
("Training calibrator.");
Transforms\ValueMapping.cs (1)
530
ch.
Info
($"Found key values in the range {keyMin} to {keyMax} in the file '{fileName}'");
Microsoft.ML.Ensemble (1)
Selector\SubModelSelector\BaseSubModelSelector.cs (1)
32
ch.
Info
("List of models and the metrics after sorted");
Microsoft.ML.FastTree (18)
FastTree.cs (10)
331
ch.
Info
(GetTestGraphHeader());
333
ch.
Info
(GetTestGraphLine());
616
ch.
Info
("Randomizing start point");
621
ch.
Info
("Starting to train ...");
706
ch.
Info
("Reverting random score assignment");
811
ch.
Info
(sb.ToString());
1369
ch.
Info
("Changing data from row-wise to column-wise on disk");
1812
ch.
Info
("Changing data from row-wise to column-wise");
2749
ch.
Info
("Making per-feature arrays");
2754
ch.
Info
("Binning and forming Feature objects");
GamModelParameters.cs (3)
952
ch.
Info
("GAM viz server is ready and waiting.");
958
ch.
Info
("Quit signal received. Quitter.");
961
ch.
Info
("No server, exiting immediately.");
GamTrainer.cs (4)
299
ch.
Info
("Starting to train ...");
429
ch.
Info
("Pruning");
439
ch.
Info
($"Best Iteration ({lossFunctionName}): {bestIteration} @ {bestLoss:G6} (vs {GamTrainerOptions.NumberOfIterations} @ {finalResult.FinalValue:G6}).");
441
ch.
Info
("No pruning necessary. More iterations may be necessary.");
Training\EnsembleCompression\LassoBasedEnsembleCompressor.cs (1)
545
ch.
Info
("Compression R2 values:");
Microsoft.ML.KMeansClustering (3)
KMeansPlusPlusTrainer.cs (3)
225
ch.
Info
("Initializing centroids");
257
ch.
Info
("Centroids initialized, starting main trainer");
597
ch.
Info
("There was not enough room to store distances of clusters from each other for acceleration of KMeans|| initialization. A memory efficient approach is used instead.");
Microsoft.ML.LightGbm (9)
LightGbmMulticlassTrainer.cs (4)
326
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.LearningRate) + " = " + GbmOptions["learning_rate"]);
328
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.NumberOfLeaves) + " = " + numberOfLeaves);
330
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.MinimumExampleCountPerLeaf) + " = " + minimumExampleCountPerLeaf);
349
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.UseSoftmax) + " = " + useSoftmax);
LightGbmTrainerBase.cs (4)
540
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.LearningRate) + " = " + learningRate);
542
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.NumberOfLeaves) + " = " + numberOfLeaves);
544
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.MinimumExampleCountPerLeaf) + " = " + minimumExampleCountPerLeaf);
642
ch.
Info
("Auto-tuning parameters: " + nameof(LightGbmTrainerOptions.UseCategoricalSplit) + " = " + useCat);
WrappedLightGbmTraining.cs (1)
84
ch.
Info
($"Met early stopping, best iteration: {bestIter + 1}, best score: {bestScore / factorToSmallerBetter}");
Microsoft.ML.Maml (7)
ChainCommand.cs (5)
61
chCmd.
Info
("=====================================================================================");
63
chCmd.
Info
("=====================================================================================");
69
chCmd.
Info
(" ");
75
ch.
Info
("=====================================================================================");
77
ch.
Info
("=====================================================================================");
HelpCommand.cs (1)
129
ch.
Info
(sw.ToString());
VersionCommand.cs (1)
34
ch.
Info
(version);
Microsoft.ML.Mkl.Components (7)
OlsLinearRegression.cs (1)
451
ch.
Info
("Number of examples equals number of parameters, solution is exact but no statistics can be derived");
SymSgdClassificationTrainer.cs (3)
750
ch.
Info
("Data fully loaded into memory.");
760
stateGCHandle, ch.
Info
);
782
stateGCHandle, ch.
Info
);
VectorWhitening.cs (3)
394
ch.
Info
("Computing covariance matrix...");
398
ch.
Info
("Computing SVD...");
411
ch.
Info
("Scaling eigenvectors...");
Microsoft.ML.StandardTrainers (11)
Optimizer\Optimizer.cs (1)
607
ch.
Info
("Beginning optimization");
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
582
ch.
Info
("LBFGS multi-threading will attempt to load dataset into memory. In case of out-of-memory " +
Standard\MulticlassClassification\OneVersusAllTrainer.cs (2)
157
ch.
Info
($"Training learner {i}");
225
ch.
Info
($"Training learner {i}");
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (2)
137
ch.
Info
($"Training learner ({i},{j})");
206
ch.
Info
($"Training learner ({i},{j})");
Standard\Online\AveragedLinear.cs (2)
210
ch.
Info
("Resetting weights to average weights");
269
ch.
Info
("Resetting weights to average weights");
Standard\Online\OnlineLinear.cs (1)
146
ch.
Info
("Initializing weights and bias to " + parent.OnlineLinearTrainerOptions.InitialWeights);
Standard\SdcaBinary.cs (2)
346
ch.
Info
("Using 1 thread to train.");
672
ch.
Info
("Using model from last iteration.");
Microsoft.ML.Sweeper (1)
SweepCommand.cs (1)
100
ch.
Info
("Outputs of finished runs can be found in the specified output folder");
Microsoft.ML.TorchSharp (3)
AutoFormerV2\ObjectDetectionTrainer.cs (1)
358
_channel.
Info
($"Row: {Updates}, Loss: {lossValue.ToDouble()}");
Roberta\QATrainer.cs (1)
378
_channel.
Info
($"Row: {Updates}, Loss: {loss.ToDouble()}");
TorchSharpBaseTrainer.cs (1)
218
ch.
Info
($"Accuracy for epoch {epoch}: {Accuracy}");
Microsoft.ML.Transforms (5)
LearnerFeatureSelection.cs (1)
105
ch.
Info
("No features are being dropped.");
MutualInformationFeatureSelection.cs (2)
174
ch.
Info
("Computing mutual information");
189
ch.
Info
("Selecting features to drop");
PermutationFeatureImportance.cs (2)
55
ch.
Info
("Number of slots: " + numSlots);
118
ch.
Info
(msgFilteredOutFeatures.ToString());