1 write to Pipeline
Microsoft.ML.AutoML (1)
Experiment\SuggestedPipelineRunDetails\SuggestedPipelineRunDetail.cs (1)
19
Pipeline
= pipeline;
16 references to Pipeline
Microsoft.ML.AutoML (16)
Experiment\SuggestedPipelineRunDetails\SuggestedPipelineCrossValRunDetail.cs (3)
50
var estimator = SuggestedPipelineRunDetailUtil.PrependPreFeaturizer(
Pipeline
.ToEstimator(), preFeaturizer);
51
return new CrossValidationRunDetail<TMetrics>(
Pipeline
.Trainer.TrainerName.ToString(), estimator,
52
Pipeline
.ToPipeline(), Results.Select(r => r.ToTrainResult()));
Experiment\SuggestedPipelineRunDetails\SuggestedPipelineRunDetail.cs (4)
31
return new RunResult(
Pipeline
.Trainer.HyperParamSet, Score, isMetricMaximizing);
54
var estimator = SuggestedPipelineRunDetailUtil.PrependPreFeaturizer(
Pipeline
.ToEstimator(), preFeaturizer);
55
return new RunDetail<TMetrics>(
Pipeline
.Trainer.TrainerName.ToString(), estimator,
56
Pipeline
.ToPipeline(), ModelContainer, ValidationMetrics, Exception);
PipelineSuggesters\PipelineSuggester.cs (9)
56
var visitedPipelines = new HashSet<SuggestedPipeline>(history.Select(h => h.
Pipeline
));
100
history = history.GroupBy(r => r.
Pipeline
.Trainer.TrainerName).Select(g => g.First());
106
var topTrainers = sortedHistory.Take(TopKTrainers).Select(r => r.
Pipeline
.Trainer);
114
return history.Where(h => selectedTrainerNames.Contains(h.
Pipeline
.Trainer.TrainerName))
115
.GroupBy(h => h.
Pipeline
.Trainer.TrainerName)
117
.Select(x => x.First().
Pipeline
.Trainer);
207
.Where(r => r.RunSucceeded && r.
Pipeline
.Trainer.TrainerName == trainer.TrainerName &&
208
r.
Pipeline
.Trainer.HyperParamSet != null &&
209
r.
Pipeline
.Trainer.HyperParamSet.Any() &&