1 write to FeatureSelection
Microsoft.ML.Data (1)
Transforms\TransformsCatalog.cs (1)
45
FeatureSelection
= new FeatureSelectionTransforms(this);
24 references to FeatureSelection
Microsoft.ML.IntegrationTests (1)
SchemaDefinitionTests.cs (1)
69
.Append(_ml.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("Features"));
Microsoft.ML.Samples (5)
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnCount.cs (2)
37
mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount(
40
.Append(mlContext.Transforms.
FeatureSelection
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnCountMultiColumn.cs (1)
39
var pipeline = mlContext.Transforms.
FeatureSelection
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnMutualInformation.cs (1)
36
var pipeline = mlContext.Transforms.
FeatureSelection
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnMutualInformationMultiColumn.cs (1)
39
var pipeline = mlContext.Transforms.
FeatureSelection
Microsoft.ML.Tests (18)
OnnxConversionTest.cs (6)
1856
mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("VectorOutput", "Vector", count: 690).
1857
Append(mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("ScalarOutput", "Scalar", count: 100)),
1860
mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("VectorOutput", "Vector", count: 800).
1861
Append(mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("ScalarOutput", "Scalar", count: 800)),
1863
mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("VectorOutput", "Vector").
1864
Append(mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("ScalarOutput", "Scalar"))
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
600
.Append(mlContext.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("WorkclassOneHotTrimmed", "WorkclassOneHot", count: 10));
Transformers\FeatureSelectionTests.cs (11)
43
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("bag_of_words_count", "bag_of_words", 10)
44
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("bag_of_words_mi", "bag_of_words", labelColumnName: "label")));
120
var est = ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("FeatureSelect", "VectorFloat", count: 1)
121
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount(columns));
153
var pipe = ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("FeatureSelect", "VectorFloat", count: 1);
177
var est = ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("FeatureSelect", "VectorFloat", slotsInOutput: 1, labelColumnName: "Label")
178
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation(labelColumnName: "Label", slotsInOutput: 2, numberOfBins: 100,
213
var pipe = ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("FeatureSelect", "VectorFloat", slotsInOutput: 1, labelColumnName: "Label");
239
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnCount("Features"));
247
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("Features", labelColumnName: "BadLabel"));
255
.Append(ML.Transforms.
FeatureSelection
.SelectFeaturesBasedOnMutualInformation("Features"));