2 writes to Name
Microsoft.ML.AutoML (2)
API\Pipeline.cs (1)
44
Name
= name;
TrainerExtensions\TrainerExtensionUtil.cs (1)
105
Name
= TrainerName.Ova.ToString(),
17 references to Name
Microsoft.ML.AutoML (3)
Experiment\SuggestedPipeline.cs (2)
86
var trainerName = (TrainerName)Enum.Parse(typeof(TrainerName), pipelineNode.
Name
);
95
var estimatorName = (EstimatorName)Enum.Parse(typeof(EstimatorName), pipelineNode.
Name
);
TransformInference\TransformInference.cs (1)
32
sb.Append(PipelineNode.
Name
);
Microsoft.ML.AutoML.Tests (3)
GetNextPipelineTests.cs (2)
81
var topStage1TrainerNames = topStage1Runs.Select(r => r.Pipeline.Nodes.Last().
Name
);
84
var stage2TrainerNames = stage2Runs.Select(r => r.Pipeline.Nodes.Last().
Name
).Distinct();
SuggestedPipelineBuilderTests.cs (1)
42
pipeline.Transforms[0].PipelineNode.
Name
);
Microsoft.ML.CodeGenerator (11)
CodeGenerator\CSharp\CodeGenerator.cs (7)
106
if (currentNode.
Name
== TrainerName.Ova.ToString())
111
if (_lightGbmTrainers.Contains(currentNode.
Name
))
115
else if (_mklComponentsTrainers.Contains(currentNode.
Name
))
119
else if (_fastTreeTrainers.Contains(currentNode.
Name
))
123
else if (_imageTransformers.Contains(currentNode.
Name
))
127
else if (_imageClassificationTrainers.Contains(currentNode.
Name
))
131
else if (_recommendationTrainers.Contains(currentNode.
Name
))
CodeGenerator\CSharp\TrainerGeneratorFactory.cs (2)
22
if (Enum.TryParse(node.
Name
, out TrainerName trainer))
80
throw new ArgumentException($"The trainer '{node.
Name
}' is not handled currently.");
CodeGenerator\CSharp\TransformGeneratorFactory.cs (2)
31
if (Enum.TryParse(node.
Name
, out EstimatorName trainer))
84
if (Enum.TryParse(node.
Name
, out SpecialTransformer transformer))