MedianFilter

class chemotools.smooth.MedianFilter(window_length: int = 3, mode: Literal['reflect', 'constant', 'nearest', 'mirror', 'wrap', 'grid-constant', 'grid-mirror', 'grid-wrap'] = 'nearest', window_size='deprecated')

ベースクラス: TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A smoothing transformer that calculates the median filter of the input data.

パラメータ:

• window_length (int, optional, default=3) -- The size of the window to use for the median filter. Must be odd. Default is 3.

• mode (str, optional, default="nearest") -- The mode to use for the median filter. Can be "nearest", "constant", "reflect", "wrap", "mirror" or "interp". Default is "nearest".

• window_size (int, optional) -- Deprecated alias for window_length.

変数:

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

サンプル

>>> from chemotools.datasets import load_fermentation_train
>>> from chemotools.smooth import MedianFilter
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Initialize MedianFilter
>>> md = MedianFilter()
MedianFilter()
>>> # Fit and transform the data
>>> X_smoothed = md.fit_transform(X)

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

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:

MedianFilter

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

Transform the input data by calculating the median filter.

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)