CubicSplineCorrection

class chemotools.baseline.CubicSplineCorrection(indices: list | None = None)

ベースクラス: TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A transformer that corrects a baseline by subtracting a cubic spline through the points defined by the indices.

パラメータ:

indices (list, optional, default=None) -- The indices of the features to use for the baseline correction. If None, the first and last indices will be used.

変数:

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

• indices (list) -- The indices of the features used for the baseline correction.

サンプル

>>> from chemotools.baseline import CubicSplineCorrection
>>> from chemotools.datasets import load_fermentation_train
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Instantiate the transformer
>>> transformer = CubicSplineCorrection(indices=[0, 100, 200, 300, 400, 500])
CubicSplineCorrection(indices)
>>> transformer.fit(X)
>>> # Generate baseline-corrected data
>>> X_corrected = transformer.transform(X)

fit(X: ndarray, y=None) → CubicSplineCorrection

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:

ConstantBaselineCorrection

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

Transform the input data by subtracting the baseline.

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)