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.