Preprocessing¶
The documentation of the preprocessing module.
The pyts.preprocessing module includes preprocessing algorithms.
-
class
pyts.preprocessing.StandardScaler(norm_mean=True, norm_std=True)[source]¶ Standardize time series by removing mean and scaling to unit variance.
Parameters: - norm_mean : bool (default = True)
If True, center the data before scaling.
- norm_std : bool (default = True)
If True, scale the data to unit variance.
Methods
fit([X, y])Pass. fit_transform(X[, y])Fit to data, then transform it. get_params([deep])Get parameters for this estimator. set_params(**params)Set the parameters of this estimator. transform(X)Perform standardization by centering and scaling.