azuremlsdk: define_timestamp_columns_for_dataset – R documentation

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define_timestamp_columns_for_dataset

Define timestamp columns for the dataset.

Description

Define timestamp columns for the dataset. The method defines columns to be used as timestamps. Timestamp columns on a dataset make it possible to treat the data as time-series data and enable additional capabilities. When a dataset has both fine_grain_timestamp and coarse_grain_timestamp defined specified, the two columns should represent the same timeline.

Usage

define_timestamp_columns_for_dataset(
  dataset,
  fine_grain_timestamp,
  coarse_grain_timestamp = NULL,
  validate = FALSE
)

Arguments

`dataset`	The Tabular Dataset object.
`fine_grain_timestamp`	The name of column as fine grain timestamp. Use None to clear it.
`coarse_grain_timestamp`	The name of column coarse grain timestamp (optional). The default is None.
`validate`	Indicates whether to validate if specified columns exist in dataset. The default is False. Validation requires that the data source is accessible from the current compute.

Value

The Tabular Dataset with timestamp columns defined.

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