evalml.pipelines.components.TextFeaturizer

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

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

Inheritance diagram of TextFeaturizer