3 writes to Properties
Microsoft.ML.AutoML (2)
API\Pipeline.cs (1)
48
Properties
= properties ?? new Dictionary<string, object>();
TrainerExtensions\TrainerExtensionUtil.cs (1)
107
Properties
= new Dictionary<string, object>()
Microsoft.ML.AutoML.Tests (1)
EstimatorExtensionTests.cs (1)
29
Properties
= new Dictionary<string, object> { }
14 references to Properties
Microsoft.ML.AutoML (5)
Experiment\SuggestedPipeline.cs (2)
88
var hyperParamSet = TrainerExtensionUtil.BuildParameterSet(trainerName, pipelineNode.
Properties
);
89
var columnInfo = TrainerExtensionUtil.BuildColumnInfo(pipelineNode.
Properties
);
TrainerExtensions\TrainerExtensionUtil.cs (1)
113
ovaNode.
Properties
["BinaryTrainer"] = binaryNode;
TransformInference\TransformInference.cs (2)
45
if (PipelineNode.
Properties
!= null)
47
foreach (var property in PipelineNode.
Properties
)
Microsoft.ML.CodeGenerator (9)
CodeGenerator\CSharp\CodeGenerator.cs (1)
108
currentNode = (PipelineNode)currentNode.
Properties
["BinaryTrainer"];
CodeGenerator\CSharp\TrainerGeneratorBase.cs (5)
44
_hasAdvancedSettings = node.
Properties
.Keys.Any(t => !NamedParameters.ContainsKey(t));
47
if (!node.
Properties
.ContainsKey("LabelColumnName"))
49
node.
Properties
.Add("LabelColumnName", "Label");
53
node.
Properties
.Add("FeatureColumnName", "Features");
56
foreach (var kv in node.
Properties
)
CodeGenerator\CSharp\TrainerGenerators.cs (2)
566
var trainerGenerator = TrainerGeneratorFactory.GetInstance((PipelineNode)_node.
Properties
["BinaryTrainer"]);
572
sb.Append(_node.
Properties
["LabelColumnName"]);
CodeGenerator\CSharp\TransformGeneratorBase.cs (1)
34
Properties = node.
Properties
;