obob_mne.decoding.GeneralizedTemporalStatistics

class obob_mne.decoding.GeneralizedTemporalStatistics(data_list, stat_function=<function ttest_1samp>, popmean=None, **kwargs)

Run statistics on Temporal Generalization results.

Given a list of Temporal Generalization Results, this class calculates a statistic on the weights and returns an instance of GeneralizedTemporalArray.

__init__(data_list, stat_function=<function ttest_1samp>, popmean=None, **kwargs)

Methods

__init__(data_list[, stat_function, popmean])
diagonal_as_temporal()	Return the non-generalized results.
get_temporal_from_training_interval(tmin, tmax)	Average the scores of a training interval.
plot_scores([axes, show, cmap, colorbar, …])	Plot the scores as a Matrix.

Attributes

chance_level	float – The chance level of the classifier.
info	Measurement info
must_be_equal
nave	int – Number of epochs in the training set.
nave_testing	int – Number of epochs in the testing set.
scores	numpy.ndarray – The scores of the classification
tmin	float – tmin
weights	numpy.ndarray – The classifier weights