| define_timestamp_columns_for_dataset {azuremlsdk} | R Documentation | 
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.