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