evalml.pipelines.components.DropNullColumns

class evalml.pipelines.components.DropNullColumns(pct_null_threshold=1.0, random_seed=0, **kwargs)

Transformer to drop features whose percentage of NaN values exceeds a specified threshold

name = 'Drop Null Columns Transformer'

model_family = 'none'

hyperparameter_ranges = {}

default_parameters = {'pct_null_threshold': 1.0}

Instance attributes

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

Methods:

__init__	Initalizes an transformer to drop features whose percentage of NaN values exceeds a specified threshold.
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 dropping columns that exceed the threshold of null values.

Class Inheritance

evalml.pipelines.components.RFClassifierSelectFromModel.transform evalml.pipelines.components.DropNullColumns.__init__