Binarizer

二值化器

FunctionTransformer

函數轉換器

KBinsDiscretizer

K 箱離散器

KernelCenterer

核中心化器

LabelBinarizer

標籤二值化器

LabelEncoder

標籤編碼器

MaxAbsScaler

絕對值最大縮放器

(1 - shrinkage) * cov + shrinkage * mu * np.identity(n_features)

MinMaxScaler

範例

>>> import numpy as np
>>> from sklearn.datasets import make_gaussian_quantiles
>>> from sklearn.covariance import empirical_covariance, shrunk_covariance
>>> real_cov = np.array([[.8, .3], [.3, .4]])
>>> rng = np.random.RandomState(0)
>>> X = rng.multivariate_normal(mean=[0, 0], cov=real_cov, size=500)
>>> shrunk_covariance(empirical_covariance(X))
array([[0.73..., 0.25...],
       [0.25..., 0.41...]])