TransformsCatalog
CategoricalTransforms
ConversionTransforms
FeatureSelectionTransforms
TextTransforms
Categorical
Conversion
FeatureSelection
Text
ApplyOnnxModel(TransformsCatalog, OnnxOptions)
ApplyOnnxModel(TransformsCatalog, Stream, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, String, Stream, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, String, String, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String[], String[], Stream, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String[], String[], String, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, Stream, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, String, Stream, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String, String, String, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String[], String[], Stream, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String[], String[], String, IDictionary<String, Int32[]>, Int32?, Boolean)
ApplyOnnxModel(TransformsCatalog, String[], String[], Stream, IDictionary<String, Int32[]>, Int32?, Boolean, Int32)
ApplyOnnxModel(TransformsCatalog, String[], String[], String, IDictionary<String, Int32[]>, Int32?, Boolean, Int32)
ApproximatedKernelMap(TransformsCatalog, String, String, Int32, Boolean, KernelBase, Int32?)
CalculateFeatureContribution(TransformsCatalog, ISingleFeaturePredictionTransformer<ICalculateFeatureContribution>, Int32, Int32, Boolean)
CalculateFeatureContribution<TModelParameters, TCalibrator>(TransformsCatalog, ISingleFeaturePredictionTransformer<CalibratedModelParametersBase<TModelParameters, TCalibrator>>, Int32, Int32, Boolean)
Concatenate(TransformsCatalog, String, String[])
ConvertToGrayscale(TransformsCatalog, String, String)
ConvertToImage(TransformsCatalog, Int32, Int32, String, String, ColorBits, ColorsOrder, Boolean, Single, Single, Int32, Int32, Int32, Int32)
CopyColumns(TransformsCatalog, String, String)
CustomMapping<TSrc, TDst>(TransformsCatalog, Action<TSrc, TDst>, String, SchemaDefinition, SchemaDefinition)
DetectAnomalyBySrCnn(TransformsCatalog, String, String, Int32, Int32, Int32, Int32, Int32, Double)
DetectChangePointBySsa(TransformsCatalog, String, String, Double, Int32, Int32, Int32, ErrorFunction, MartingaleType, Double)
DetectChangePointBySsa(TransformsCatalog, String, String, Int32, Int32, Int32, Int32, ErrorFunction, MartingaleType, Double)
DetectIidChangePoint(TransformsCatalog, String, String, Double, Int32, MartingaleType, Double)
DetectIidChangePoint(TransformsCatalog, String, String, Int32, Int32, MartingaleType, Double)
DetectIidSpike(TransformsCatalog, String, String, Double, Int32, AnomalySide)
DetectIidSpike(TransformsCatalog, String, String, Int32, Int32, AnomalySide)
DetectSpikeBySsa(TransformsCatalog, String, String, Double, Int32, Int32, Int32, AnomalySide, ErrorFunction)
DetectSpikeBySsa(TransformsCatalog, String, String, Int32, Int32, Int32, Int32, AnomalySide, ErrorFunction)
DnnFeaturizeImage(TransformsCatalog, String, Func<DnnImageFeaturizerInput, EstimatorChain<ColumnCopyingTransformer>>, String)
DropColumns(TransformsCatalog, String[])
Expression(TransformsCatalog, String, String, String[])
ExtractPixels(TransformsCatalog, String, String, ColorBits, ColorsOrder, Boolean, Single, Single, Boolean)
FeaturizeByFastForestBinary(TransformsCatalog, Options)
FeaturizeByFastForestRegression(TransformsCatalog, Options)
FeaturizeByFastTreeBinary(TransformsCatalog, Options)
FeaturizeByFastTreeRanking(TransformsCatalog, Options)
FeaturizeByFastTreeRegression(TransformsCatalog, Options)
FeaturizeByFastTreeTweedie(TransformsCatalog, Options)
FeaturizeByPretrainTreeEnsemble(TransformsCatalog, Options)
IndicateMissingValues(TransformsCatalog, InputOutputColumnPair[])
IndicateMissingValues(TransformsCatalog, String, String)
LoadImages(TransformsCatalog, String, String, String)
LoadRawImageBytes(TransformsCatalog, String, String, String)
NormalizeBinning(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean, Int32)
NormalizeBinning(TransformsCatalog, String, String, Int64, Boolean, Int32)
NormalizeGlobalContrast(TransformsCatalog, String, String, Boolean, Boolean, Single)
NormalizeLogMeanVariance(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean)
NormalizeLogMeanVariance(TransformsCatalog, InputOutputColumnPair[], Boolean, Int64, Boolean)
NormalizeLogMeanVariance(TransformsCatalog, String, String, Int64, Boolean)
NormalizeLogMeanVariance(TransformsCatalog, String, Boolean, String, Int64, Boolean)
NormalizeLpNorm(TransformsCatalog, String, String, NormFunction, Boolean)
NormalizeMeanVariance(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean, Boolean)
NormalizeMeanVariance(TransformsCatalog, String, String, Int64, Boolean, Boolean)
NormalizeMinMax(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean)
NormalizeMinMax(TransformsCatalog, String, String, Int64, Boolean)
NormalizeRobustScaling(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean, UInt32, UInt32)
NormalizeRobustScaling(TransformsCatalog, String, String, Int64, Boolean, UInt32, UInt32)
NormalizeSupervisedBinning(TransformsCatalog, InputOutputColumnPair[], String, Int64, Boolean, Int32, Int32)
NormalizeSupervisedBinning(TransformsCatalog, String, String, String, Int64, Boolean, Int32, Int32)
ProjectToPrincipalComponents(TransformsCatalog, String, String, String, Int32, Int32, Boolean, Int32?)
ReplaceMissingValues(TransformsCatalog, InputOutputColumnPair[], ReplacementMode, Boolean)
ReplaceMissingValues(TransformsCatalog, String, String, ReplacementMode, Boolean)
ResizeImages(TransformsCatalog, String, Int32, Int32, String, ResizingKind, Anchor)
SelectColumns(TransformsCatalog, String[])
SelectColumns(TransformsCatalog, String[], Boolean)
StatefulCustomMapping<TSrc, TDst, TState>(TransformsCatalog, Action<TSrc, TDst, TState>, Action<TState>, String)
VectorWhiten(TransformsCatalog, String, String, WhiteningKind, Single, Int32, Int32)
net8.0
namespace Microsoft.ML
{
public static class NormalizationCatalog
{
public static NormalizingEstimator NormalizeLogMeanVariance(this TransformsCatalog catalog, InputOutputColumnPair[] columns, bool fixZero, long maximumExampleCount = 1000000000L, bool useCdf = true);
}
}
.NET | 5.06.07.08.09.010.0 |
---|---|
.NET Core | 2.02.12.23.03.1 |
.NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
.NET Standard | 2.02.1 |
Information specific to net8.0 | |
Assembly | Microsoft.ML.Transforms , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML (5.0.0-preview.1.25127.4) netstandard2.0 |
Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API