azuremlsdk: keep_columns_from_dataset – R documentation

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keep_columns_from_dataset

Keep the specified columns and drops all others from the dataset.

Description

Keep the specified columns and drops all others from the dataset. If a timeseries column is dropped, the corresponding capabilities will be dropped for the returned dataset as well.

Usage

keep_columns_from_dataset(dataset, columns, validate = FALSE)

Arguments

`dataset`	The Tabular Dataset object
`columns`	The name or a list of names for the columns to keep.
`validate`	Indicates whether to validate if data can be loaded from the returned dataset. The default is False. Validation requires that the data source is accessible from current compute.

Value

A new Tabular Dataset object with only the specified columns kept.

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0

MIT + file LICENSE

Authors

Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Initial release