OnnxCatalog Class

Definition

Namespace:

Microsoft.ML

Assembly:

Microsoft.ML.OnnxTransformer.dll

Package:

Microsoft.ML.OnnxTransformer v3.0.1

public static class OnnxCatalog

type OnnxCatalog = class

Public Module OnnxCatalog

Inheritance

Object

OnnxCatalog

Methods

ApplyOnnxModel(TransformsCatalog, OnnxOptions)	Create a OnnxScoringEstimator using the specified OnnxOptions. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String, IDictionary<String,Int32[]>, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the input column. Input/output columns are determined based on the input/output columns of the provided ONNX model. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the input column. Input/output columns are determined based on the input/output columns of the provided ONNX model. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String, String, String, IDictionary<String,Int32[]>, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the inputColumnName column. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String, String, String, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the inputColumnName column. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String[], String[], String, IDictionary<String,Int32[]>, Nullable<Int32>, Boolean, Int32)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the inputColumnNames columns. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String[], String[], String, IDictionary<String,Int32[]>, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the inputColumnNames columns. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
ApplyOnnxModel(TransformsCatalog, String[], String[], String, Nullable<Int32>, Boolean)	Create a OnnxScoringEstimator, which applies a pre-trained Onnx model to the inputColumnNames columns. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU.
DnnFeaturizeImage(TransformsCatalog, String, Func<DnnImageFeaturizerInput,EstimatorChain<ColumnCopyingTransformer>>, String)	Create DnnImageFeaturizerEstimator, which applies one of the pre-trained DNN models in DnnImageModelSelector to featurize an image.