evalml.pipelines.components.OneHotEncoder

class evalml.pipelines.components.OneHotEncoder(top_n=10, random_state=0)

One-hot encoder to encode non-numeric data

name = 'One Hot Encoder'

model_family = 'none'

hyperparameter_ranges = {}

Instance attributes

Methods:

__init__	Initalizes self.
describe	Describe a component and its parameters
fit	Fits component to data
fit_transform	Fits on X and transforms X
get_feature_names	Returns names of transformed and added columns
transform	One-hot encode the input DataFrame.