evalml.pipelines.components.DropNullColumns

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

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

Inheritance diagram of DropNullColumns