evalml.pipelines.components.PolynomialDetrender

class evalml.pipelines.components.PolynomialDetrender(degree=1, random_seed=0, **kwargs)

Removes trends from time series by fitting a polynomial to the data.

name = 'Polynomial Detrender'

model_family = 'none'

hyperparameter_ranges = {'degree': Integer(low=1, high=3, prior='uniform', transform='identity')}

default_parameters = {'degree': 1}

Instance attributes

needs_fitting
parameters	Returns the parameters which were used to initialize the component

Methods:

__init__	Initialize the PolynomialDetrender.
clone	Constructs a new component with the same parameters and random state.
describe	Describe a component and its parameters
fit	Fits the PolynomialDetrender.
fit_transform	Removes fitted trend from target variable.
inverse_transform	Adds back fitted trend to target variable.
load	Loads component at file path
save	Saves component at file path
transform	Removes fitted trend from target variable.

Class Inheritance

evalml.pipelines.components.DFSTransformer.transform evalml.pipelines.components.PolynomialDetrender.__init__