18 references to MinMaxColumnOptions
Microsoft.ML.Data (5)
DataLoadSave\DataOperationsCatalog.cs (1)
584
data = new NormalizingEstimator(env, new NormalizingEstimator.
MinMaxColumnOptions
(splitColumnName, samplingKeyColumn, ensureZeroUntouched: false)).Fit(data).Transform(data);
Transforms\NormalizeColumn.cs (3)
300
var normalizer = new NormalizingEstimator(env, new NormalizingEstimator.
MinMaxColumnOptions
(outputColumnName, inputColumnName ?? outputColumnName));
314
.Select(col => new NormalizingEstimator.
MinMaxColumnOptions
(
972
return CreateBuilder(new NormalizingEstimator.
MinMaxColumnOptions
(
Transforms\Normalizer.cs (1)
151
return new
MinMaxColumnOptions
(outputColumnName, inputColumnName);
Microsoft.ML.TensorFlow.Tests (1)
TensorflowTests.cs (1)
711
.Append(_mlContext.Transforms.Normalize(new NormalizingEstimator.
MinMaxColumnOptions
("Features", "Placeholder")))
Microsoft.ML.Tests (10)
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
312
new NormalizingEstimator.
MinMaxColumnOptions
("MinMaxNormalized", "Features", ensureZeroUntouched: true),
Transformers\NormalizerTests.cs (9)
51
new NormalizingEstimator.
MinMaxColumnOptions
("float1"),
52
new NormalizingEstimator.
MinMaxColumnOptions
("float4"),
53
new NormalizingEstimator.
MinMaxColumnOptions
("double1"),
54
new NormalizingEstimator.
MinMaxColumnOptions
("double4"),
120
new NormalizingEstimator.
MinMaxColumnOptions
("float1"),
121
new NormalizingEstimator.
MinMaxColumnOptions
("float4"),
122
new NormalizingEstimator.
MinMaxColumnOptions
("double1"),
123
new NormalizingEstimator.
MinMaxColumnOptions
("double4"),
483
var est3 = new NormalizingEstimator(Env, new NormalizingEstimator.
MinMaxColumnOptions
("float4"));
Microsoft.ML.Transforms (2)
NormalizerCatalog.cs (2)
56
var columnOptions = new NormalizingEstimator.
MinMaxColumnOptions
(outputColumnName, inputColumnName, maximumExampleCount, fixZero);
81
new NormalizingEstimator.
MinMaxColumnOptions
(column.OutputColumnName, column.InputColumnName, maximumExampleCount, fixZero)).ToArray());