define_timestamp_columns_for_dataset: Define timestamp columns for the dataset.

In azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'

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 documentation built on Oct. 23, 2020, 8:22 p.m.