filter

Columns.filter(conditional: Callable[[Column], bool]) → Columns

Filters the columns container.

Args:

conditional (callable, optional):

A callable that evaluates to a boolean for a given item.

Return:

getml.pipeline.Column:

A container of filtered Columns.

Example:

important_columns = my_pipeline.columns.filter(lambda column: column.importance > 0.1)

peripheral_columns = my_pipeline.columns.filter(lambda column: column.marker == "[PERIPHERAL]")