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TensorFlowModel Class

Definition

Namespace:
Microsoft.ML.Transforms
Assembly:
Microsoft.ML.TensorFlow.dll
Package:
Microsoft.ML.TensorFlow v4.0.1
Package:
Microsoft.ML.TensorFlow v1.2.0
Package:
Microsoft.ML.TensorFlow v1.3.1
Package:
Microsoft.ML.TensorFlow v1.4.0
Package:
Microsoft.ML.TensorFlow v1.5.5
Package:
Microsoft.ML.TensorFlow v1.6.0
Package:
Microsoft.ML.TensorFlow v1.7.0
Package:
Microsoft.ML.TensorFlow v2.0.1
Package:
Microsoft.ML.TensorFlow v3.0.1
Package:
Microsoft.ML.TensorFlow v5.0.0-preview.1.25125.4
Source:
TensorFlowModel.cs
Source:
TensorFlowModel.cs
Source:
TensorFlowModel.cs

This class holds the information related to TensorFlow model and session. It provides some convenient methods to query model schema as well as creation of TensorFlowEstimator object.

public sealed class TensorFlowModel : IDisposable
public sealed class TensorFlowModel
type TensorFlowModel = class
    interface IDisposable
type TensorFlowModel = class
Public NotInheritable Class TensorFlowModel
Implements IDisposable
Public NotInheritable Class TensorFlowModel
Inheritance
Object
TensorFlowModel
Implements
IDisposable

Methods

Dispose()
GetInputSchema()

Get DataViewSchema for only those nodes which are marked "Placeholder" in the TensorFlow model. This method is convenient for exploring the model input(s) in case TensorFlow graph is very large.
GetModelSchema()

Get DataViewSchema for complete model. Every node in the TensorFlow model will be included in the DataViewSchema object.
ScoreTensorFlowModel(String, String, Boolean)

Scores a dataset using a pre-trained TensorFlow model.
ScoreTensorFlowModel(String[], String[], Boolean)

Scores a dataset using a pre-trained TensorFlow model.

Applies to