evalml.pipelines.components.DFSTransformer

class evalml.pipelines.components.DFSTransformer(index='index', random_state=None, random_seed=0, **kwargs)

Featuretools DFS component that generates features for ww.DataTables and pd.DataFrames

name = 'DFS Transformer'

model_family = 'none'

hyperparameter_ranges = {}

default_parameters = {'index': 'index'}

Instance attributes

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

Methods:

__init__	Allows for featuretools to be used in EvalML.
clone	Constructs a new component with the same parameters and random state.
describe	Describe a component and its parameters
fit	Fits the DFSTransformer Transformer component.
fit_transform	Fits on X and transforms X
load	Loads component at file path
save	Saves component at file path
transform	Computes the feature matrix for the input X using featuretools’ dfs algorithm.

Class Inheritance

evalml.pipelines.components.DelayedFeatureTransformer.transform evalml.pipelines.components.DFSTransformer.__init__