NonNegative#

class chemotools.baseline.NonNegative(mode: Literal['zero', 'abs'] = 'zero')[source]

Bases: TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A transformer that sets all negative values to zero or to abs.

Parameters:

mode (Literal["zero", "abs"], optional, default="zero") – The mode to use for the non-negative values. Can be: - zero: set all negative values to zero. - abs: set all negative values to their absolute value.

Variables:

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

Examples

>>> from chemotools.baseline import NonNegative
>>> from chemotools.datasets import load_fermentation_train
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Instantiate the transformer
>>> transformer = NonNegative(mode="zero")
NonNegative(mode="zero")
>>> transformer.fit(X)
>>> # Generate non-negative data
>>> X_non_negative = transformer.transform(X)
fit(X: ndarray, y=None) → NonNegative[source]

Fit the transformer to the input data.

Parameters:

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

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

Returns:

self – The fitted transformer.

Return type:

NonNegative

transform(X: ndarray, y=None) → ndarray[source]

Transform the input data to non-negative values.

Parameters:

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

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

Returns:

X_transformed – The transformed data.

Return type:

np.ndarray of shape (n_samples, n_features)

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