featuretools.primitives.Trend#

class featuretools.primitives.Trend[source]#

Calculates the trend of a column 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__()#

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([agg_type])

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

series_library

stack_on

stack_on_exclude

stack_on_self

uses_calc_time