featuretools.primitives.Trend

class featuretools.primitives.Trend

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