evalml.pipelines.components.DropColumns

class evalml.pipelines.components.DropColumns(columns=None, random_seed=0, **kwargs)

Drops specified columns in input data.

name = 'Drop Columns Transformer'

model_family = 'none'

hyperparameter_ranges = {}

default_parameters = {'columns': None}

Instance attributes

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

Methods:

__init__	Initalizes an transformer that drops specified columns in input data.
clone	Constructs a new component with the same parameters and random state.
describe	Describe a component and its parameters
fit	Fits the transformer by checking if column names are present in the dataset.
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 dropping columns.

Class Inheritance

evalml.pipelines.components.utils.generate_component_code evalml.pipelines.components.DropColumns.__init__