to_sql

Features.to_sql(targets=True, subfeatures=True)

Returns SQL statements visualizing the features.

Args:

targets (boolean):

Whether you want to include the target columns in the main table.

subfeatures (boolean):

Whether you want to include the code for the subfeatures of a snowflake schema.

Examples:

my_pipeline.features.to_sql()

Raises:

IOError: If the pipeline could not be found

on the engine or the pipeline could not be fitted.

KeyError: If an unsupported instance variable is

encountered.

TypeError: If any instance variable is of wrong type.

Returns:

SQLCode

Object representing the features.

Note:

Only fitted pipelines (fit()) can hold trained features which can be returned as SQL statements. The dialect is based on the SQLite3 standard.