featuretools.primitives.Or#

class featuretools.primitives.Or[source]#

Performs element-wise logical OR of two lists.

Description:: Given a list of booleans X and a list of booleans Y, determine whether each value in X is True, or whether its corresponding value in Y is True.

Examples

>>> _or = Or()
>>> _or([False, True, False], [True, True, False]).tolist()
[True, True, False]

Methods

`__init__`()
`flatten_nested_input_types`(input_types)	Flattens nested column schema inputs into a single list.
`generate_name`(base_feature_names)
`generate_names`(base_feature_names)
`get_args_string`()
`get_arguments`()
`get_description`(input_column_descriptions[, ...])
`get_filepath`(filename)
`get_function`()

Attributes

`base_of`
`base_of_exclude`
`commutative`
`default_value`	Default value this feature returns if no data found.
`description_template`
`input_types`	woodwork.ColumnSchema types of inputs
`max_stack_depth`
`name`	Name of the primitive
`number_output_features`	Number of columns in feature matrix associated with this feature
`return_type`	ColumnSchema type of return
`stack_on`
`stack_on_exclude`
`stack_on_self`
`uses_calc_time`
`uses_full_dataframe`