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Test-MLModel

Evaluate a machine learning model.

Description

Evaluate a machine learning model.

Syntax

Test-MLModel [-Model] <TransformerChain<ITransformer>> [-Data] <IDataView> -BinaryClassification [-LabelColumn <String>] [-ScoreColumn <String>] [-ProbabilityColumn <String>] [-PredictedLabelColumn <String>] [-Context <MLContext>] [<CommonParameters>]
Test-MLModel [-Model] <TransformerChain<ITransformer>> [-Data] <IDataView> -MulticlassClassification [-LabelColumn <String>] [-ScoreColumn <String>] [-PredictedLabelColumn <String>] [-TopKPredictionCount <Int32>] [-Context <MLContext>] [<CommonParameters>]
Test-MLModel [-Model] <TransformerChain<ITransformer>> [-Data] <IDataView> -Regression [-LabelColumn <String>] [-ScoreColumn <String>] [-Context <MLContext>] [<CommonParameters>]

Parameters

-Model

The transformer to evaluate.

Type: Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer>
Required: True
Position: 0
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Data

The data to evaluate the model.

Type: Microsoft.ML.IDataView
Required: True
Position: 1
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-BinaryClassification

Test a binary classification model.

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

-MulticlassClassification

Test a multiclass classification model.

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

-Regression

Test a regression model.

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

-LabelColumn

The label column name.

Type: System.String
Required: False
Position: named
Default value: Label
Accept pipeline input: False
Accept wildcard characters: False

-ScoreColumn

The score column name.

Type: System.String
Required: False
Position: named
Default value: Score
Accept pipeline input: False
Accept wildcard characters: False

-ProbabilityColumn

The probability column name.

Type: System.String
Required: False
Position: named
Default value: Probability
Accept pipeline input: False
Accept wildcard characters: False

-PredictedLabelColumn

The predicted label column name

Type: System.String
Required: False
Position: named
Default value: PredictedLabel
Accept pipeline input: False
Accept wildcard characters: False

-TopKPredictionCount

TopKPredictionCount

Type: System.Int32
Required: False
Position: named
Default value: 0
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
None This cmdlet does not accept pipeline input.

Outputs

Type Description
Microsoft.ML.Data.CalibratedBinaryClassificationMetrics This cmdlet returns evaluation metrics.
Microsoft.ML.Data.MulticlassClassificationMetrics This cmdlet returns evaluation metrics.
Microsoft.ML.Data.RegressionMetrics This cmdlet returns evaluation metrics.