Add-DropColumnsTransform.md

Add-DropColumnsTransform

Drop one or more input columns.

Description

Drop one or more input columns.

Syntax

Add-DropColumnsTransform [-Columns] <String[]> [-AppendTo <EstimatorChain<ITransformer>>] [-AppendScope <TransformerScope>] [-Context <MLContext>] [<CommonParameters>]

Parameters

-Columns

The array of column names to drop. This estimator operates over columns of any data type.

Type: System.String[]
Required: True
Position: 0
Default value: None
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.