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featurebyte.Context.get_forecast_point_feature

get_forecast_point_feature( ) -> Any

Description

Returns a Feature representing the FORECAST_POINT column with timezone info from this Context's forecast_point_schema.

The returned RequestColumn will have the correct dtype and timezone information as defined in the ForecastPointSchema, enabling local time date part extraction.

Returns

  • Any
    A Feature for FORECAST_POINT with timezone metadata from the schema.

Raises

  • ValueError
    If this Context does not have a forecast_point_schema defined.

Examples

Get forecast point from a Context and extract month in local time:

>>> context = catalog.get_context("daily_forecast_context")
>>> forecast_month = context.get_forecast_point_feature().dt.month
>>> forecast_month.name = "Forecast Month (Local)"

Calculate forecast horizon from Context's forecast point:

>>> forecast_horizon = (
...     context.get_forecast_point_feature() - fb.RequestColumn.point_in_time()
... ).dt.day

>>> forecast_horizon.name = "Forecast Horizon Days"