roles

A role determines if and how columns are handled during the construction of the DataModel and used by the feature learning algorithm (see feature_learning).

Example:

data_frame = getml.DataFrame.from_db(
    name=name,
    table_name=table_name,
    conn=conn
)

data_frame.set_role(
    ["store_nbr", "item_nbr"], getml.data.roles.join_key)
data_frame.set_role("date", getml.data.roles.time_stamp)
data_frame.set_role("units", getml.data.roles.target)

Attributes

categorical	Marks categorical columns.
join_key	Marks join keys.
numerical	Marks numerical columns.
target	Marks the column(s) we would like to predict.
text	Marks text columns.
time_stamp	Marks time stamps.
unused_float	Marks a FloatColumn as unused.
unused_string	Marks a StringColumn as unused.