evalml.pipelines.components.SimpleImputer.fit

SimpleImputer.fit(X, y=None)

Fits imputer to data. ‘None’ values are converted to np.nan before imputation and are

treated as the same.

Parameters

• X (pd.DataFrame or np.array) – the input training data of shape [n_samples, n_features]

• y (pd.Series, optional) – the target training labels of length [n_samples]

Returns

self

evalml.pipelines.components.SimpleImputer.describe evalml.pipelines.components.SimpleImputer.fit_transform