59 references to NormalizeMinMax
Microsoft.ML.AutoML (1)
EstimatorExtensions\EstimatorExtensions.cs (1)
164
return context.Transforms.
NormalizeMinMax
(outColumn, inColumn);
Microsoft.ML.AutoML.Tests (1)
PurposeInferenceTests.cs (1)
33
var normalizer = context.Transforms.
NormalizeMinMax
(DefaultColumnNames.Features);
Microsoft.ML.IntegrationTests (11)
DataTransformation.cs (1)
176
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"));
IntrospectiveTraining.cs (1)
265
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"));
ModelFiles.cs (4)
329
var pipeline = mlContext.Transforms.
NormalizeMinMax
("Features");
388
var composite = loader.Append(mlContext.Transforms.
NormalizeMinMax
("Features"));
426
var estimator = mlContext.Transforms.
NormalizeMinMax
("Features");
459
var estimator = mlContext.Transforms.
NormalizeMinMax
("Features");
ONNX.cs (3)
41
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
91
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
143
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Training.cs (2)
318
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
362
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Microsoft.ML.OnnxTransformerTest (1)
DnnImageFeaturizerTest.cs (1)
227
.Append(ML.Transforms.
NormalizeMinMax
("Features", "Features"))
Microsoft.ML.PerformanceTests (1)
KMeansAndLogisticRegressionBench.cs (1)
37
.Append(ml.Transforms.
NormalizeMinMax
("NumFeatures"))
Microsoft.ML.Samples (11)
Dynamic\ModelOperations\OnnxConversion.cs (1)
63
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
29
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
25
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (1)
31
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
34
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
32
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
34
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
31
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Trainers\Regression\PermutationFeatureImportanceLoadFromDisk.cs (1)
33
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Dynamic\Transforms\NormalizeMinMax.cs (2)
29
var normalize = mlContext.Transforms.
NormalizeMinMax
("Features",
35
var normalizeFixZero = mlContext.Transforms.
NormalizeMinMax
("Features",
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
105
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"));
Microsoft.ML.Tests (32)
CachingTests.cs (3)
46
.Append(ML.Transforms.
NormalizeMinMax
("Norm1", "F1"))
56
.Append(ML.Transforms.
NormalizeMinMax
("Norm1", "F1"))
76
.Append(ML.Transforms.
NormalizeMinMax
("Norm1", "F1"))
CalibratedModelParametersTests.cs (1)
134
.Append(ML.Transforms.
NormalizeMinMax
("Features"));
FeatureContributionTests.cs (1)
315
.Append(ML.Transforms.
NormalizeMinMax
("Features"));
OnnxConversionTest.cs (13)
77
mlContext.Transforms.
NormalizeMinMax
("FeatureVector")
153
var pipeline = mlContext.Transforms.
NormalizeMinMax
("Features").
246
Append(mlContext.Transforms.
NormalizeMinMax
("Features"));
301
Append(ML.Transforms.
NormalizeMinMax
("Features"));
573
mlContext.Transforms.
NormalizeMinMax
("FeatureVector")
604
mlContext.Transforms.
NormalizeMinMax
("FeatureVector")
629
Append(mlContext.Transforms.
NormalizeMinMax
("Features")).
795
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
1681
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
1957
Append(mlContext.Transforms.
NormalizeMinMax
("MyFeatureVector"));
2006
.Append(mlContext.Transforms.
NormalizeMinMax
("MyFeatureVector"))
2114
pipe = ML.Transforms.
NormalizeMinMax
(nameof(DataPoint.Features), fixZero: fixZero);
2119
pipe = ML.Transforms.
NormalizeMinMax
(nameof(DataPoint.Features), fixZero: fixZero);
PermutationFeatureImportanceTests.cs (2)
859
.Append(ML.Transforms.
NormalizeMinMax
("Features"));
939
.Append(ML.Transforms.
NormalizeMinMax
("Features"));
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
170
mlContext.Transforms.
NormalizeMinMax
("FeatureVector")
Scenarios\IrisPlantClassificationTests.cs (1)
33
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
37
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
31
.Append(mlContext.Transforms.
NormalizeMinMax
("Features"))
TrainerEstimators\OnlineLinearTests.cs (2)
25
var regressionPipe = ML.Transforms.
NormalizeMinMax
("Features");
39
var binaryPipe = ML.Transforms.
NormalizeMinMax
("Features");
Transformers\NormalizerTests.cs (6)
484
var est4 = ML.Transforms.
NormalizeMinMax
("float4", "float4");
485
var est5 = ML.Transforms.
NormalizeMinMax
("float4");
586
var est1 = ML.Transforms.
NormalizeMinMax
("float4", "float4");
593
var est6 = ML.Transforms.
NormalizeMinMax
("float4", "float4");
642
var est = ML.Transforms.
NormalizeMinMax
("output", "input");
1055
var model = ML.Transforms.
NormalizeMinMax
("output", "input").Fit(data);