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': []}

Instance attributes

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
describe	Describe a component and its parameters
fit	Fits component to data
fit_transform	Fits on X and transforms X
transform	Transforms data X by creating new features using existing text columns

evalml.pipelines.components.DateTimeFeaturization.transform evalml.pipelines.components.TextFeaturizer.__init__