evalml.pipelines.components.TextFeaturizer

class evalml.pipelines.components.TextFeaturizer(text_columns=None, random_state=0, **kwargs)

Transformer that can automatically featurize text columns.

name = 'Text Featurization Component'

model_family = 'none'

hyperparameter_ranges = {}

default_parameters = {'text_columns': None}

Instance attributes

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

Methods:

__init__	Extracts features from text columns using featuretools’ nlp_primitives
clone	Constructs a new component with the same parameters and random state.
describe	Describe a component and its parameters
fit	Fits component to data
fit_transform	Fits on X and transforms X
load	Loads component at file path
save	Saves component at file path
transform	Transforms data X by creating new features using existing text columns

Class Inheritance

evalml.pipelines.components.DateTimeFeaturizer.transform evalml.pipelines.components.TextFeaturizer.__init__