PointScaler

class chemotools.scale.PointScaler(point: int = 0, x_axis: ndarray | None = None, wavenumbers='deprecated')

基类：XAxisMixin, TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A transformer that scales the input data by the intensity value at a given point. The point can be specified by an index or by a wavenumber.

参数:

• point (int, optional, default=0) -- The point to scale the data by. It can be an index or an x-axis value.

• x_axis (array-like, optional, default=None) -- The x-axis values of the input data. If not provided, the indices will be used instead. Default is None. If provided, the values must be in ascending order.

• wavenumbers (array-like, optional) -- Deprecated alias for x_axis.

变量:

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

• point_index (int) -- The index of the point to scale the data by. It is 0 if the wavenumbers are not provided.

示例

>>> from chemotools.datasets import load_fermentation_train
>>> from chemotools.scale import PointScaler
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Initialize PointScaler with point index
>>> scaler = PointScaler(point=10)
PointScaler(point=10, wavenumbers=None)
>>> # Fit and transform the data
>>> X_scaled = scaler.fit_transform(X)

fit(X: ndarray, y=None) → PointScaler

Fit the transformer to the input data.

参数:

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

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

返回:

self -- The fitted transformer.

返回类型:

PointScaler

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

Transform the input data by scaling by the value at a given Point.

参数:

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

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

返回:

X_transformed -- The transformed data.

返回类型:

np.ndarray of shape (n_samples, n_features)