OnnxCatalog Class

  • Reference

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.OnnxTransformer.dll
Package:
Microsoft.ML.OnnxTransformer v3.0.1
Package:
Microsoft.ML.OnnxTransformer v1.2.0
Package:
Microsoft.ML.OnnxTransformer v1.3.1
Package:
Microsoft.ML.OnnxTransformer v1.4.0
Package:
Microsoft.ML.OnnxTransformer v1.5.5
Package:
Microsoft.ML.OnnxTransformer v1.6.0
Package:
Microsoft.ML.OnnxTransformer v1.7.0
Package:
Microsoft.ML.OnnxTransformer v2.0.0
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)

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, 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, 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.

Applies to