fmri.py 文件源码

python
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项目:modl 作者: arthurmensch 项目源码 文件源码
def __init__(self,
                 method='masked',
                 step_size=1,
                 n_components=20,
                 n_epochs=1,
                 alpha=0.1,
                 dict_init=None,
                 random_state=None,
                 batch_size=20,
                 reduction=1,
                 learning_rate=1,
                 positive=False,
                 transform_batch_size=None,
                 mask=None, smoothing_fwhm=None,
                 standardize=True, detrend=True,
                 low_pass=None, high_pass=None, t_r=None,
                 target_affine=None, target_shape=None,
                 mask_strategy='background', mask_args=None,
                 memory=Memory(cachedir=None), memory_level=0,
                 n_jobs=1, verbose=0,
                 callback=None):
        fMRICoderMixin.__init__(self, n_components=n_components,
                                alpha=alpha,
                                dict_init=dict_init,
                                mask=mask,
                                transform_batch_size=transform_batch_size,
                                smoothing_fwhm=smoothing_fwhm,
                                standardize=standardize,
                                detrend=detrend,
                                low_pass=low_pass,
                                high_pass=high_pass,
                                t_r=t_r,
                                target_affine=target_affine,
                                target_shape=target_shape,
                                mask_strategy=mask_strategy,
                                mask_args=mask_args,
                                memory=memory,
                                memory_level=memory_level,
                                n_jobs=n_jobs,
                                verbose=verbose)
        self.n_epochs = n_epochs
        self.batch_size = batch_size
        self.reduction = reduction
        self.method = method
        self.step_size = step_size
        self.positive = positive
        self.learning_rate = learning_rate
        self.random_state = random_state
        self.callback = callback
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