evalml.pipelines.components.DFSTransformer

class evalml.pipelines.components.DFSTransformer(index='index', random_seed=0, **kwargs)[source]

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

Inheritance diagram of DFSTransformer