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 ImageEstimatorsCatalog
{
public static VectorToImageConvertingEstimator ConvertToImage(this TransformsCatalog catalog, int imageHeight, int imageWidth, string outputColumnName, string inputColumnName = null, ColorBits colorsPresent = ColorBits.Rgb, ColorsOrder orderOfColors = ColorsOrder.ARGB, bool interleavedColors = false, float scaleImage = 1F, float offsetImage = 0F, int defaultAlpha = 255, int defaultRed = 0, int defaultGreen = 0, int defaultBlue = 0);
}
}
.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.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