MeanFilter#

class chemotools.smooth.MeanFilter(window_length: int = 3, mode='nearest', window_size='deprecated')[源代码]

基类：TransformerMixin, OneToOneFeatureMixin, BaseEstimator

A transformer that calculates the mean filter of the input data.

参数:

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

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

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

变量:

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

示例

>>> from chemotools.datasets import load_fermentation_train
>>> from chemotools.smooth import MeanFilter
>>> # Load sample data
>>> X, _ = load_fermentation_train()
>>> # Initialize MeanFilter
>>> mf = MeanFilter()
MeanFilter()
>>> # Fit and transform the data
>>> X_smoothed = mf.fit_transform(X)
fit(X: ndarray, y=None) → MeanFilter[源代码]

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:

MeanFilter

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

Transform the input data by calculating the mean filter.

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)