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)
net10.0-windows7.0
namespace Microsoft.ML
{
public static class TimeSeriesCatalog
{
public static IidChangePointEstimator DetectIidChangePoint(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int changeHistoryLength, MartingaleType martingale = MartingaleType.Power, double eps = 0.1);
}
}
nuget.org | 0.0 %
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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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 |
Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API