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doc update
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yjmantilla authored and sappelhoff committed Oct 10, 2020
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3 changes: 2 additions & 1 deletion docs/whats_new.rst
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Changelog
~~~~~~~~~

- It's now possible to pass kwargs arguments to the notch filter inside prep; see the ``filter_kwargs`` parameter by `Yorguin Mantilla`_ (`#40 <https://github.com/sappelhoff/pyprep/pull/40>`_)
- The default filter length for the spectrum_fit method will be '10s' to fix memory issues, by `Yorguin Mantilla`_ (`#40 <https://github.com/sappelhoff/pyprep/pull/40>`_)
- Channel types are now available from a new ``ch_types_all`` attribute, and non-EEG channel names are now available from a new ``ch_names_non_eeg`` attribute from :class:`pyprep.PrepPipeline`, by `Yorguin Mantilla`_ (`#34 <https://github.com/sappelhoff/pyprep/pull/34>`_)
- Renaming of ``ch_names`` attribute of ``PrepPipeline`` to ``ch_names_all``, by `Yorguin Mantilla`_ (`#34 <https://github.com/sappelhoff/pyprep/pull/34>`_)
- It's now possible to pass ``'eeg'`` to ``ref_chs`` and ``reref_chs`` parameters to select only eeg channels for referencing, by `Yorguin Mantilla`_ (`#34 <https://github.com/sappelhoff/pyprep/pull/34>`_)
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3 changes: 3 additions & 0 deletions pyprep/prep_pipeline.py
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Expand Up @@ -40,6 +40,9 @@ class PrepPipeline:
an int, it will be used as a seed for RandomState.
If None, the seed will be obtained from the operating system
(see RandomState for details). Default is None.
filter_kwargs : dictionary
Keywords arguments for the mne.filter.notch_filter function.
Note Fs and freqs are already setted up by the prep_params dictionary.
Attributes
----------
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