17 instantiations of PipelineNode
Microsoft.ML.AutoML (17)
EstimatorExtensions\EstimatorExtensions.cs (14)
18
var pipelineNode = new
PipelineNode
(EstimatorName.ColumnConcatenating.ToString(),
39
var pipelineNode = new
PipelineNode
(EstimatorName.ColumnCopying.ToString(),
60
var pipelineNode = new
PipelineNode
(EstimatorName.KeyToValueMapping.ToString(),
81
var pipelineNode = new
PipelineNode
(EstimatorName.Hashing.ToString(),
102
var pipelineNode = new
PipelineNode
(EstimatorName.MissingValueIndicating.ToString(),
129
var pipelineNode = new
PipelineNode
(EstimatorName.MissingValueReplacing.ToString(),
156
var pipelineNode = new
PipelineNode
(EstimatorName.Normalizing.ToString(),
177
var pipelineNode = new
PipelineNode
(EstimatorName.OneHotEncoding.ToString(),
208
var pipelineNode = new
PipelineNode
(EstimatorName.OneHotHashEncoding.ToString(),
234
var pipelineNode = new
PipelineNode
(EstimatorName.TextFeaturizing.ToString(),
255
var pipelineNode = new
PipelineNode
(EstimatorName.TypeConverting.ToString(),
281
var pipelineNode = new
PipelineNode
(EstimatorName.ValueToKeyMapping.ToString(),
308
var pipelineNode = new
PipelineNode
(EstimatorName.RawByteImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty);
333
var pipelineNode = new
PipelineNode
(EstimatorName.ImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty);
TrainerExtensions\TrainerExtensionUtil.cs (3)
103
var ovaNode = new
PipelineNode
()
130
return new
PipelineNode
(trainerName.ToString(), PipelineNodeType.Trainer, DefaultColumnNames.Features,
137
return new
PipelineNode
(trainerName.ToString(), PipelineNodeType.Trainer, DefaultColumnNames.Features,
83 references to PipelineNode
Microsoft.ML.AutoML (73)
API\Pipeline.cs (2)
11
public
PipelineNode
[] Nodes { get; set; }
14
public Pipeline(
PipelineNode
[] nodes, bool cacheBeforeTrainer = false)
EstimatorExtensions\EstimatorExtensions.cs (28)
11
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
18
var
pipelineNode = new PipelineNode(EstimatorName.ColumnConcatenating.ToString(),
32
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
39
var
pipelineNode = new PipelineNode(EstimatorName.ColumnCopying.ToString(),
53
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
60
var
pipelineNode = new PipelineNode(EstimatorName.KeyToValueMapping.ToString(),
74
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
81
var
pipelineNode = new PipelineNode(EstimatorName.Hashing.ToString(),
95
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
102
var
pipelineNode = new PipelineNode(EstimatorName.MissingValueIndicating.ToString(),
122
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
129
var
pipelineNode = new PipelineNode(EstimatorName.MissingValueReplacing.ToString(),
149
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
156
var
pipelineNode = new PipelineNode(EstimatorName.Normalizing.ToString(),
170
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
177
var
pipelineNode = new PipelineNode(EstimatorName.OneHotEncoding.ToString(),
196
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
208
var
pipelineNode = new PipelineNode(EstimatorName.OneHotHashEncoding.ToString(),
227
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
234
var
pipelineNode = new PipelineNode(EstimatorName.TextFeaturizing.ToString(),
248
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
255
var
pipelineNode = new PipelineNode(EstimatorName.TypeConverting.ToString(),
274
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
281
var
pipelineNode = new PipelineNode(EstimatorName.ValueToKeyMapping.ToString(),
297
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
308
var
pipelineNode = new PipelineNode(EstimatorName.RawByteImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty);
322
public IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode)
333
var
pipelineNode = new PipelineNode(EstimatorName.ImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty);
EstimatorExtensions\IEstimatorExtension.cs (1)
9
IEstimator<ITransformer> CreateInstance(MLContext context,
PipelineNode
pipelineNode);
Experiment\SuggestedPipeline.cs (2)
62
var pipelineElements = new List<
PipelineNode
>();
82
foreach (
var
pipelineNode in pipeline.Nodes)
Experiment\SuggestedTrainer.cs (1)
64
public
PipelineNode
ToPipelineNode()
TrainerExtensions\BinaryTrainerExtensions.cs (9)
47
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
79
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
101
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
122
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
143
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
164
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
186
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
208
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
229
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\ITrainerExtension.cs (1)
19
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo);
TrainerExtensions\MultiTrainerExtensions.cs (11)
32
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
54
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
74
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
97
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
117
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
140
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
162
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
184
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
206
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
227
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
245
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RankingTrainerExtensions.cs (2)
30
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
52
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RecommendationTrainerExtensions.cs (1)
25
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\RegressionTrainerExtensions.cs (8)
30
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
52
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
74
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
95
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
116
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
138
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
160
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
181
public
PipelineNode
CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
TrainerExtensions\TrainerExtensionUtil.cs (5)
100
public static
PipelineNode
BuildOvaPipelineNode(ITrainerExtension multiExtension, ITrainerExtension binaryExtension,
103
var
ovaNode = new PipelineNode()
112
var
binaryNode = binaryExtension.CreatePipelineNode(sweepParams, columnInfo);
117
public static
PipelineNode
BuildPipelineNode(TrainerName trainerName, IEnumerable<SweepableParam> sweepParams,
134
public static
PipelineNode
BuildLightGbmPipelineNode(TrainerName trainerName, IEnumerable<SweepableParam> sweepParams,
TransformInference\TransformInference.cs (2)
16
public readonly
PipelineNode
PipelineNode;
18
public SuggestedTransform(
PipelineNode
pipelineNode, IEstimator<ITransformer> estimator)
Microsoft.ML.AutoML.Tests (10)
TrainerExtensionsTests.cs (10)
45
var
pipelineNode = extension.CreatePipelineNode(null, columnInfo);
59
var
pipelineNode = extension.CreatePipelineNode(null, columnInfo);
72
var
pipelineNode = new MatrixFactorizationExtension().CreatePipelineNode(sweepParams, new ColumnInformation());
108
var
pipelineNode = new LightGbmBinaryExtension().CreatePipelineNode(sweepParams, new ColumnInformation());
153
var
pipelineNode = new SdcaLogisticRegressionBinaryExtension().CreatePipelineNode(sweepParams, new ColumnInformation());
179
var
pipelineNode = new LightGbmBinaryExtension().CreatePipelineNode(
212
var
pipelineNode = new FastForestBinaryExtension().CreatePipelineNode(sweepParams, columnInfo);
236
var
pipelineNode = new AveragedPerceptronBinaryExtension().CreatePipelineNode(null, new ColumnInformation() { LabelColumnName = "L" });
257
var
pipelineNode = new FastForestOvaExtension().CreatePipelineNode(null, new ColumnInformation());
291
var
pipelineNode = new FastTreeRankingExtension().CreatePipelineNode(null, columnInfo);