evalml.pipelines.components.DelayedFeatureTransformer

class evalml.pipelines.components.DelayedFeatureTransformer(max_delay=2, delay_features=True, delay_target=True, gap=1, random_state=0, **kwargs)[source]

Transformer that delayes input features and target variable for time series problems.

name = 'Delayed Feature Transformer'
model_family = 'none'
hyperparameter_ranges = {}
default_parameters = {'delay_features': True, 'delay_target': True, 'gap': 1, 'max_delay': 2}

Instance attributes

needs_fitting

parameters

Returns the parameters which were used to initialize the component

Methods:

__init__

Creates a DelayedFeatureTransformer.

clone

Constructs a new component with the same parameters and random state.

describe

Describe a component and its parameters

fit

Fits the DelayFeatureTransformer.

fit_transform

Fits on X and transforms X

load

Loads component at file path

save

Saves component at file path

transform

Computes the delayed features for all features in X and y.

Class Inheritance

Inheritance diagram of DelayedFeatureTransformer