NormScaler

class chemotools.scale.NormScaler(l_norm: int = 2)

ベースクラス: TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A transformer that scales the input data by the L-norm of the spectrum.

パラメータ:

l_norm (int, optional, default=2) -- The L-norm to use. Default is 2.

変数:

n_features_in (int) -- The number of features in the input data.

サンプル

>>> from chemotools.datasets import load_fermentation_train
>>> from chemotools.scale import NormScaler
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Initialize NormScaler
>>> scaler = NormScaler(l_norm=2)
NormScaler()
>>> # Fit and transform the data
>>> X_scaled = scaler.fit_transform(X)

fit(X: ndarray, y=None) → NormScaler

Fit the transformer to the input data.

パラメータ:

• X (np.ndarray of shape (n_samples, n_features)) -- The input data to fit the transformer to.

• y (None) -- Ignored to align with API.

戻り値:

self -- The fitted transformer.

戻り値の型:

NormScaler

transform(X: ndarray, y=None) → ndarray

Transform the input data by scaling by the L-norm.

パラメータ:

• X (np.ndarray of shape (n_samples, n_features)) -- The input data to transform.

• y (None) -- Ignored to align with API.

戻り値:

X_transformed -- The transformed data.

戻り値の型:

np.ndarray of shape (n_samples, n_features)