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)
net6.0
namespace Microsoft.ML
{
public static class ImageEstimatorsCatalog
{
public static ImagePixelExtractingEstimator ExtractPixels(this TransformsCatalog catalog, string outputColumnName, string inputColumnName = null, ColorBits colorsToExtract = ColorBits.Rgb, ColorsOrder orderOfExtraction = ColorsOrder.ARGB, bool interleavePixelColors = false, float offsetImage = 0F, float scaleImage = 1F, bool outputAsFloatArray = true);
}
}
nuget.org | 0.0 % Reference this API |
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Upgrade Planner | 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 net6.0 | |
Assembly | Microsoft.ML.ImageAnalytics , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.ImageAnalytics (4.0.2) netstandard2.0 |
Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API