Predicting a target using a binary classification model.
Predicting a target using a binary classification model.
Add-PriorTrainer [[-LabelColumn] <String>] [[-ExampleWeightColumn] <String>] [-AppendTo <EstimatorChain<ITransformer>>] [-AppendScope <TransformerScope>] [-Context <MLContext>] [<CommonParameters>]
The name of the label column.
Type: System.String
Required: False
Position: 0
Default value: Label
Accept pipeline input: False
Accept wildcard characters: FalseThe name of the example weight column (optional).
Type: System.String
Required: False
Position: 1
Default value: null
Accept pipeline input: False
Accept wildcard characters: FalseAppend 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: FalseThe 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: FalseThe 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: FalseThis cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer, PipelineVariable, and OutVariable. For more information, see about_CommonParameters.
| Type | Description |
|---|---|
| Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> | You can pipe the EstimatorChain to append to this cmdlet. |
| Type | Description |
|---|---|
| Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> | This cmdlet returns the appended EstimatorChain. |