evalml.pipelines.components.TargetEncoder

class evalml.pipelines.components.TargetEncoder(cols=None, smoothing=1.0, handle_unknown='value', handle_missing='value', random_state=0, **kwargs)[source]

Target encoder to encode categorical data

name = 'Target Encoder'
model_family = 'none'
hyperparameter_ranges = {}
default_parameters = {'cols': None, 'handle_missing': 'value', 'handle_unknown': 'value', 'smoothing': 1.0}

Instance attributes

needs_fitting

parameters

Returns the parameters which were used to initialize the component

Methods:

__init__

Initializes a transformer that encodes categorical features into target encodings.

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

get_feature_names

Return feature names for the input features after fitting.

load

Loads component at file path

save

Saves component at file path

transform

Transforms data X.

Class Inheritance

Inheritance diagram of TargetEncoder