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Add-ScoreTensorFlowModelTransform.md

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Add-ScoreTensorFlowModelTransform

Scores a dataset using a pre-trained TensorFlow model.

Description

Scores a dataset using a pre-trained TensorFlow model.

Syntax

Add-ScoreTensorFlowModelTransform [-OutputColumn] <String[]> [-InputColumn] <String[]> -Path <String> [-AddBatchDimension] [-AppendTo <EstimatorChain<ITransformer>>] [-AppendScope <TransformerScope>] [-Context <MLContext>] [<CommonParameters>]
Add-ScoreTensorFlowModelTransform [-OutputColumn] <String[]> [-InputColumn] <String[]> -Model <TensorFlowModel> [-AddBatchDimension] [-AppendTo <EstimatorChain<ITransformer>>] [-AppendScope <TransformerScope>] [-Context <MLContext>] [<CommonParameters>]

Parameters

-OutputColumn

The name of the requested model output. The data type is a vector of Single.

Type: System.String[]
Required: True
Position: 0
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-InputColumn

The name of the model input. The data type is a vector of Single.

Type: System.String[]
Required: True
Position: 1
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Path

The location of the TensorFlow model to load.

Type: System.String
Required: True
Position: named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Model

The TensorFlow model.

Type: Microsoft.ML.Transforms.TensorFlowModel
Required: True
Position: named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-AddBatchDimension

Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well.

Type: System.Management.Automation.SwitchParameter
Required: False
Position: named
Default value: False
Accept pipeline input: False
Accept wildcard characters: False

-AppendTo

Append the created estimator to the end of this chain.

Type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer>
Required: False
Position: named
Default value: null
Accept pipeline input: True (ByValue)
Accept wildcard characters: False

-AppendScope

The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.

Type: Microsoft.ML.Data.TransformerScope
Required: False
Position: named
Default value: Everything
Accept pipeline input: False
Accept wildcard characters: False

-Context

The context on which to perform the action. If omitted, the current (cached) context will be used.

Type: Microsoft.ML.MLContext
Required: False
Position: named
Default value: Current context
Accept pipeline input: False
Accept wildcard characters: False

Common parameters

This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer, PipelineVariable, and OutVariable. For more information, see about_CommonParameters.

Inputs

Type Description
Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> You can pipe the EstimatorChain to append to this cmdlet.

Outputs

Type Description
Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> This cmdlet returns the appended EstimatorChain.