featurebyte.View.create_observation_table¶

name: str,

sample_rows: Optional[int]=None,

columns: Optional[list[str]]=None,

columns_rename_mapping: Optional[dict[str, str]]=None

) -> ObservationTable

Description¶

Creates an ObservationTable from the View. When you specify the columns and the columns_rename_mapping parameters, make sure that the table has:

a column containing entity values with an accepted serving name.
a column containing historical points-in-time in UTC. The column name must be "POINT-IN-TIME".

Parameters¶

name: str
Name of the ObservationTable.
sample_rows: Optional[int]
Optionally sample the source table to this number of rows before creating the observation table.
columns: Optional[list[str]]
Include only these columns in the view when creating the observation table. If None, all columns are included.
columns_rename_mapping: Optional[dict[str, str]]
Rename columns in the view using this mapping from old column names to new column names when creating the observation table. If None, no columns are renamed.

Returns¶

ObservationTable
ObservationTable object.

Examples¶

>>> observation_table = view.create_observation_table(
...   name="<observation_table_name>",
...   sample_rows=10000,
...   columns=["timestamp", "<entity_serving_name>"],
...   columns_rename_mapping={"timestamp": "POINT_IN_TIME"},
... )