U f{jK @s$GdddeZGdddeZdS)c@seZdZdZdddZdS)TransformerMixinz1Mixin class for all transformers in scikit-learn.NcKs6|dkr|j|f||S|j||f||SdS)aSFit to data, then transform it. Fits transformer to ``X`` and ``y`` with optional parameters ``fit_params``, and returns a transformed version of ``X``. Parameters ---------- X : array, shape (n_samples, n_features) Training set. y : array, shape (n_samples,) Target values or class labels. **fit_params : dict Additional fitting parameters passed to the ``fit`` method.. Returns ------- X_new : array, shape (n_samples, n_features_new) Transformed array. N)fitZ transform)selfXyZ fit_paramsrQ/var/www/html/bwave/python/venv/lib/python3.8/site-packages/mne/decoding/mixin.py fit_transformszTransformerMixin.fit_transform)N)__name__ __module__ __qualname____doc__rrrrrrsrc@s"eZdZdZdddZddZdS) EstimatorMixinzMixin class for estimators.TcCsdS)zoGet the estimator params. Parameters ---------- deep : bool Deep. Nr)rdeeprrr get_params'szEstimatorMixin.get_paramsc Ks|s|S|jdd}|D]\}}|dd}t|dkrv|\}}||kr\td||f||}|jf||iq||krtd||jjft|||q|S)zSet parameters (mimics sklearn API). Parameters ---------- **params : dict Extra parameters. Returns ------- inst : object The instance. T)r__zsInvalid parameter %s for estimator %s. Check the list of available parameters with `estimator.get_params().keys()`.) ritemssplitlen ValueError set_params __class__r setattr) rparamsZ valid_paramskeyvaluernameZsub_nameZ sub_objectrrrr1s&     zEstimatorMixin.set_paramsN)T)r r r r rrrrrrr $s r N)objectrr rrrrs!