evalml.pipelines.components.SelectColumns

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

Selects specified columns in input data.

name = 'Select 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 selecting columns.

Class Inheritance

Inheritance diagram of SelectColumns