81 references to Info
Microsoft.ML.Data (13)
Commands\TestCommand.cs (1)
78ch.Info("maml.exe {0} {1}", command, settings);
DataLoadSave\Binary\BinaryLoader.cs (4)
2158ch.Info("IDV {0} (compat {1}), {2} col, {3} row, {4} bytes", VersionToString(header.Version), 2199ch.Info(" {0} compressed from {1} with {2} ({3:0.00%})", 2212ch.Info(" {0} pieces of metadata{1} has {2} byte table, {3} byte content", 2233ch.Info("{0,8:0.000%} for {1} ({2} bytes)", (size + 0.0) / idvSize, desc, size);
DataLoadSave\Binary\BinarySaver.cs (1)
700ch.Info("Wrote {0} rows across {1} columns in {2}", _rowCount, activeColumns.Length, sw.Elapsed);
DataLoadSave\Text\TextLoaderParser.cs (1)
171_ch.Info("Processed {0} rows with {1} bad values and {2} format errors",
DataLoadSave\Transpose\TransposeSaver.cs (1)
138ch.Info("Wrote {0} data view in {1} bytes", name, substream.Length);
Prediction\Calibrator.cs (2)
889ch.Info("Not training a calibrator because the predictor output is {0}, but expected to be {1}.", type, NumberDataViewType.Single); 1902ch.Info("PAV calibrator: piecewise function approximation has {0} components.", stack.Count);
Utilities\TimerScope.cs (3)
37_ch.Info("Physical memory usage(MB): {0}", physicalMemoryUsageInMB); 40_ch.Info("Virtual memory usage(MB): {0}", virtualMemoryUsageInMB); 49_ch.Info("{0}\t Time elapsed(s): {1}\n\n", DateTime.UtcNow.ToString("MM/dd/yyyy H:mm:ss tt"), elapsedSeconds);
Microsoft.ML.Ensemble (8)
OutputCombiners\BaseStacking.cs (1)
203ch.Info("The number of instances used for stacking trainer is {0}", count);
Selector\SubModelSelector\BaseSubModelSelector.cs (2)
33ch.Info("| {0}(Sorted) || Name of Model |", metricName); 48ch.Info("| {0} |{1}", metric, model.Predictor.GetType().Name);
Trainer\EnsembleTrainerBase.cs (5)
144ch.Info("Training {0} learners for the batch {1}", Trainers.Length, batchNumber++); 151ch.Info("Beginning training model {0} of {1}", index + 1, Trainers.Length); 172ch.Info("Trainer {0} of {1} finished in {2}", index + 1, Trainers.Length, sw.Elapsed); 215ch.Info("{0}| Name of Model |", string.Join("", models[0].Metrics.Select(m => string.Format("| {0} |", m.Key)))); 218ch.Info("{0}{1}", string.Join("", model.Metrics.Select(m => string.Format("| {0} |", m.Value))), model.Predictor.GetType().Name);
Microsoft.ML.FastTree (15)
BoostingFastTree.cs (1)
160ch.Info("Pruning picked iteration {0}", bestIteration);
FastTree.cs (4)
254ch.Info("Execution time breakdown:\n{0}", Timer.GetString()); 599ch.Info( 750ch.Info("The training is stopped at {0} and iteration {1} is picked", 2753ch.Info("Processed {0} instances", convData.NumExamples);
SumupPerformanceCommand.cs (4)
158ch.Info("Bits per item is {0}", bits); 275ch.Info("Created {0} int arrays taking {1} bytes", arrays.Length, bytes); 278ch.Info("Parallelism = {0}", _parallel); 326ch.Info("Partition {0} ({1} of {2}), completed {3} ({4:0.000} ns per doc)",
Training\EnsembleCompression\LassoBasedEnsembleCompressor.cs (4)
178ch.Info("Lasso Compression uses {0} observations.", _numObservations); 249ch.Info("Starting iteration {0}: R2={1}", iteration, rsquared); 456ch.Info("Elapsed time for compression: {0}", stopWatch.Elapsed); 548ch.Info("Solution {0}:\t{1}\t{2}", i + 1, fit.NonZeroWeights[i], fit.Rsquared[i]);
Training\OptimizationAlgorithms\ConjugateGradientDescent.cs (1)
46ch.Info("beta: {0}", beta);
Training\StepSearch.cs (1)
164ch.Info("multiplier: {0}", bestStep);
Microsoft.ML.KMeansClustering (2)
KMeansPlusPlusTrainer.cs (2)
264ch.Info("Model trained successfully on {0} instances", totalTrainingInstances); 483ch.Info("Accelerating the first {0} instances", baseMaxInstancesToAccelerate);
Microsoft.ML.LightGbm (1)
LightGbmTrainerBase.cs (1)
734ch.Info("LightGBM objective={0}", GbmOptions["objective"]);
Microsoft.ML.Maml (2)
ChainCommand.cs (2)
62chCmd.Info("Executing: {0}", sub); 76ch.Info("Executed {0} commands in {1}", count, sw.Elapsed);
Microsoft.ML.Mkl.Components (3)
OlsLinearRegression.cs (3)
285ch.Info("Trainer solving for {0} parameters across {1} examples", m, n); 388ch.Info("Trainer solving for {0} parameters across {1} examples", m, n); 478ch.Info("Coefficient of determination R2 = {0:g}, or {1:g} (adjusted)",
Microsoft.ML.PCA (3)
PcaTrainer.cs (1)
223ch.Info("Estimate memory usage: {0:G2} GB. If running out of memory, reduce rank and oversampling factor.", memoryUsageEstimate);
PcaTransformer.cs (2)
319ch.Info("Estimate memory usage for transforming column {1}: {0:G2} GB. If running out of memory, reduce rank and oversampling factor.", 343ch.Info("Estimate memory usage for all PCA transforms: {0:G2} GB. If running out of memory, reduce ranks and oversampling factors.",
Microsoft.ML.Recommender (2)
SafeTrainingAndModelBuffer.cs (2)
334ch.Info("Training {0} by {1} problem on {2} examples", 373ch.Info("Training {0} by {1} problem on {2} examples with a {3} by {4} validation set including {5} examples",
Microsoft.ML.StandardTrainers (20)
Optimizer\Optimizer.cs (2)
608ch.Info("num vars: {0}", initial.Length); 609ch.Info("improvement criterion: {0}", term.FriendlyName);
Standard\LogisticRegression\LbfgsPredictorBase.cs (3)
348ch.Info("Running SGD initialization with tolerance {0}", SgdInitializationTolerance); 406ch.Info("SGD initialization done in {0} rounds", numExamples); 716ch.Info("L1 regularization selected {0} of {1} weights.", numParams, BiasCount + WeightCount);
Standard\LogisticRegression\LogisticRegression.cs (4)
231ch.Info("Model trained with {0} training examples.", NumGoodRows); 254ch.Info("Residual Deviance: \t{0} (on {1} degrees of freedom)", deviance, Math.Max(NumGoodRows - numParams, 0)); 262ch.Info("Null Deviance: \t{0} (on {1} degrees of freedom)", nullDeviance, NumGoodRows - 1); 265ch.Info("AIC: \t{0}", 2 * numParams + deviance);
Standard\LogisticRegression\MulticlassLogisticRegression.cs (4)
319ch.Info("Model trained with {0} training examples.", NumGoodRows); 340ch.Info("Residual Deviance: \t{0}", deviance); 353ch.Info("Null Deviance: \t{0}", nullDeviance); 356ch.Info("AIC: \t{0}", 2 * numParams + deviance);
Standard\SdcaBinary.cs (6)
348ch.Info("Using {0} threads to train.", numThreads); 356ch.Info("Automatically choosing a check frequency of {0}.", checkFrequency); 665ch.Info("Using best model from iteration {0}.", bestIter); 693ch.Info("Auto-tuning parameters: maxIterations = {0}.", maxIterations); 710ch.Info("Auto-tuning parameters: L2 = {0}.", l2); 730ch.Info("Auto-tuning parameters: L1Threshold (L1/L2) = {0}.", l1Threshold);
Standard\SdcaRegression.cs (1)
189ch.Info("Auto-tuning parameters: L2 = {0}.", l2);
Microsoft.ML.Sweeper (4)
ConfigRunner.cs (2)
127ch.Info(@"The summary of the run results has been saved to the file {0}\{1}.summary.txt", OutputFolder, Prefix); 167ch.Info("Parameter set: {0}", string.Join(", ", sweeps[i].Select(p => string.Format("{0}:{1}", p.Name, p.ValueText))));
SweepCommand.cs (2)
90ch.Info("Starting batch {0}", i + 1); 94ch.Info("Could only generate {0} sweeps.", runs.Count);
Microsoft.ML.TensorFlow (1)
TensorflowUtils.cs (1)
340ch.Info("Error deleting folder. {0}. Retry,", e.Message);
Microsoft.ML.Transforms (7)
CountFeatureSelection.cs (1)
208ch.Info("Total number of slots selected: {0}", selectedCount.Sum());
MutualInformationFeatureSelection.cs (3)
187ch.Info("Finished mutual information computation in {0}", sw.Elapsed); 198ch.Info("Selected {0} slots out of {1} in column '{2}'", selectedCount[i], colSizes[i], colArr[i]); 199ch.Info("Total number of slots selected: {0}", selectedCount.Sum());
PermutationFeatureImportance.cs (2)
109ch.Info("Number of zero weights: {0} out of {1}.", zeroWeightsCount, weights.Length); 159ch.Info("Detected {0} examples for evaluation.", valuesRowCount);
SvmLight\SvmLightLoader.cs (1)
708ch.Info("Observed max was {0}", keyMax);