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)
netstandard2.0
namespace Microsoft.ML
{
public static class TimeSeriesCatalog
{
[Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")]
public static IidSpikeEstimator DetectIidSpike(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength, AnomalySide side = AnomalySide.TwoSided);
}
}
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Reference this API |
.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 netstandard2.0 | |
Assembly | Microsoft.ML.TimeSeries , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.TimeSeries (4.0.2) netstandard2.0 |
Obsolete | This API method is deprecated, please use the overload with confidence parameter of type double. |
Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API