featuretools.primitives.CumMax¶

class featuretools.primitives.CumMax[source]¶

Calculates the cumulative maximum.

Description:: Given a list of values, return the cumulative max (or running max). There is no set window, so the max at each point is calculated over all prior values. NaN values will return NaN, but in the window of a cumulative caluclation, they’re ignored.

Examples

>>> cum_max = CumMax()
>>> cum_max([1, 2, 3, 4, None, 5]).tolist()
[1.0, 2.0, 3.0, 4.0, nan, 5.0]

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`
`compatibility`	Additional compatible libraries
`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
`uses_calc_time`
`uses_full_dataframe`

featuretools.primitives.CumMin

nlp_primitives.CountString