What’s new?¶

Version 0.1 (unreleased)¶

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Added mne_hfo.compute_chs_hfo_rates() to compute HFO rates per unit of time for every channel, by Adam Li) (#13)
Added mne_hfo.io.create_events_df() to generate a DataFrame of HFO events from Raw object, or dictionary of lists of HFO endpoints, by Adam Li (#7)
Added mne_hfo.find_coincident_events() to compare two dicts that contain event information by Patrick Myers (#10)
Added notebook to demo use of detection algorithms by Patrick Myers (#10)
Vectorized detection overlap check to enhance scoring speed by Patrick Myers (#15)
Added notebook to demo use of GridSearchCV to optimize detector performance by Patrick Myers (#15)
Added module to compare detections and notebook to demo usage Patrick Myers (#22)

Added mne_hfo.io.events_to_annotations() to go from *events.tsv to *annotations.tsv files, by Adam Li (#10)
Added mne_hfo.sklearn.make_Xy_sklearn() to format data into scikit-learn compatible data structures for the sake of running hyper-parameter searches with SearchCV functions, by Adam Li (#15)

Fixed channel name issue introduced by redundant type checks when using fit_and_predict by Patrick Myers (#15)
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