mne.decoding.
TimeFrequency
(freqs, sfreq=1.0, method='morlet', n_cycles=7.0, time_bandwidth=None, use_fft=True, decim=1, output='complex', n_jobs=1, verbose=None)[source]¶Time frequency transformer.
Time-frequency transform of times series along the last axis.
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Methods
__hash__ ($self, /) |
Return hash(self). |
fit (X[, y]) |
Do nothing (for scikit-learn compatibility purposes). |
fit_transform (X[, y]) |
Time-frequency transform of times series along the last axis. |
get_params ([deep]) |
Get parameters for this estimator. |
set_params (**params) |
Set the parameters of this estimator. |
transform (X) |
Time-frequency transform of times series along the last axis. |
__hash__
($self, /)¶Return hash(self).
fit
(X, y=None)[source]¶Do nothing (for scikit-learn compatibility purposes).
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fit_transform
(X, y=None)[source]¶Time-frequency transform of times series along the last axis.
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get_params
(deep=True)[source]¶Get parameters for this estimator.
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set_params
(**params)[source]¶Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects
(such as pipelines). The latter have parameters of the form
<component>__<parameter>
so that it’s possible to update each
component of a nested object.
Returns
——-
self
transform
(X)[source]¶Time-frequency transform of times series along the last axis.
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