featuretools.primitives.Trend

class featuretools.primitives.Trend[source]

Calculates the trend of a variable over time.

Description:

Given a list of values and a corresponding list of datetimes, calculate the slope of the linear trend of values.

Examples

>>> from datetime import datetime
>>> trend = Trend()
>>> times = [datetime(2010, 1, 1, 11, 45, 0),
...          datetime(2010, 1, 1, 11, 55, 15),
...          datetime(2010, 1, 1, 11, 57, 30),
...          datetime(2010, 1, 1, 11, 12),
...          datetime(2010, 1, 1, 11, 12, 15)]
>>> round(trend([1, 2, 3, 4, 5], times), 3)
-0.053
__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.

generate_name(base_feature_names, …)

generate_names(base_feature_names, …)

get_args_string()

get_arguments()

get_dask_aggregation()

get_filepath(filename)

get_function()

Attributes

base_of

base_of_exclude

commutative

dask_compatible

default_value

input_types

max_stack_depth

name

number_output_features

stack_on

stack_on_exclude

stack_on_self

uses_calc_time