15 references to MeanVarianceColumnOptions
Microsoft.ML.Data (3)
Transforms\NormalizeColumn.cs (2)
332
.Select(col => new NormalizingEstimator.
MeanVarianceColumnOptions
(
1009
return CreateBuilder(new NormalizingEstimator.
MeanVarianceColumnOptions
(
Transforms\Normalizer.cs (1)
153
return new
MeanVarianceColumnOptions
(outputColumnName, inputColumnName);
Microsoft.ML.Tests (10)
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
313
new NormalizingEstimator.
MeanVarianceColumnOptions
("MeanVarNormalized", "Features", fixZero: true),
Transformers\NormalizerTests.cs (9)
63
new NormalizingEstimator.
MeanVarianceColumnOptions
("float1mv", "float1"),
64
new NormalizingEstimator.
MeanVarianceColumnOptions
("float4mv", "float4"),
65
new NormalizingEstimator.
MeanVarianceColumnOptions
("double1mv", "double1"),
66
new NormalizingEstimator.
MeanVarianceColumnOptions
("double4mv", "double4"),
128
new NormalizingEstimator.
MeanVarianceColumnOptions
("float1mv", "float1"),
129
new NormalizingEstimator.
MeanVarianceColumnOptions
("float4mv", "float4"),
130
new NormalizingEstimator.
MeanVarianceColumnOptions
("double1mv", "double1"),
131
new NormalizingEstimator.
MeanVarianceColumnOptions
("double4mv", "double4"),
504
var est7 = new NormalizingEstimator(Env, new NormalizingEstimator.
MeanVarianceColumnOptions
("float4"));
Microsoft.ML.Transforms (2)
NormalizerCatalog.cs (2)
107
var columnOptions = new NormalizingEstimator.
MeanVarianceColumnOptions
(outputColumnName, inputColumnName, maximumExampleCount, fixZero, useCdf);
127
new NormalizingEstimator.
MeanVarianceColumnOptions
(column.OutputColumnName, column.InputColumnName, maximumExampleCount, fixZero, useCdf)).ToArray());