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__
()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
stack_on
stack_on_exclude
stack_on_self
uses_calc_time