1 write to MetricsAgent
Microsoft.ML.AutoML (1)
API\ExperimentBase.cs (1)
39MetricsAgent = metricsAgent;
15 references to MetricsAgent
Microsoft.ML.AutoML (15)
API\BinaryClassificationExperiment.cs (2)
316return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing); 321return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing);
API\ExperimentBase.cs (5)
290var runner = new TrainValidateRunner<TMetrics>(Context, trainData, validationData, columnInfo.GroupIdColumnName, columnInfo.LabelColumnName, MetricsAgent, 309var runner = new CrossValRunner<TMetrics>(Context, trainDatasets, validationDatasets, MetricsAgent, preFeaturizer, 315Settings, MetricsAgent, _trainerAllowList, columns, runner, _logger); 336var runner = new CrossValSummaryRunner<TMetrics>(Context, trainDatasets, validationDatasets, MetricsAgent, preFeaturizer, 350Settings, MetricsAgent, _trainerAllowList, columns, runner, _logger);
API\MulticlassClassificationExperiment.cs (2)
306return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing); 311return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing);
API\RankingExperiment.cs (2)
131return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing); 136return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing);
API\RecommendationExperiment.cs (2)
70return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing); 75return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing);
API\RegressionExperiment.cs (2)
320return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing); 325return BestResultUtil.GetBestRun(results, MetricsAgent, OptimizingMetricInfo.IsMaximizing);