本文整理汇总了Python中mne.preprocessing.ICA._reset方法的典型用法代码示例。如果您正苦于以下问题：Python ICA._reset方法的具体用法？Python ICA._reset怎么用？Python ICA._reset使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mne.preprocessing.ICA的用法示例。
在下文中一共展示了ICA._reset方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_ica_reset
# 需要导入模块: from mne.preprocessing import ICA [as 别名]
# 或者: from mne.preprocessing.ICA import _reset [as 别名]
def test_ica_reset(method):
"""Test ICA resetting."""
_skip_check_picard(method)
raw = read_raw_fif(raw_fname).crop(0.5, stop).load_data()
picks = pick_types(raw.info, meg=True, stim=False, ecg=False,
eog=False, exclude='bads')[:10]
run_time_attrs = (
'pre_whitener_',
'unmixing_matrix_',
'mixing_matrix_',
'n_components_',
'n_samples_',
'pca_components_',
'pca_explained_variance_',
'pca_mean_'
)
with pytest.warns(UserWarning, match='did not converge'):
ica = ICA(
n_components=3, max_pca_components=3, n_pca_components=3,
method=method, max_iter=1).fit(raw, picks=picks)
assert (all(hasattr(ica, attr) for attr in run_time_attrs))
assert ica.labels_ is not None
ica._reset()
assert (not any(hasattr(ica, attr) for attr in run_time_attrs))
assert ica.labels_ is not None示例2: test_ica_reset
# 需要导入模块: from mne.preprocessing import ICA [as 别名]
# 或者: from mne.preprocessing.ICA import _reset [as 别名]
def test_ica_reset():
"""Test ICA resetting"""
raw = Raw(raw_fname).crop(0.5, stop, False)
raw.load_data()
picks = pick_types(raw.info, meg=True, stim=False, ecg=False,
eog=False, exclude='bads')[:10]
run_time_attrs = (
'_pre_whitener',
'unmixing_matrix_',
'mixing_matrix_',
'n_components_',
'n_samples_',
'pca_components_',
'pca_explained_variance_',
'pca_mean_'
)
with warnings.catch_warnings(record=True):
ica = ICA(
n_components=3, max_pca_components=3, n_pca_components=3,
method='fastica', max_iter=1).fit(raw, picks=picks)
assert_true(all(hasattr(ica, attr) for attr in run_time_attrs))
ica._reset()
assert_true(not any(hasattr(ica, attr) for attr in run_time_attrs))示例3: test_ica_reset
# 需要导入模块: from mne.preprocessing import ICA [as 别名]
# 或者: from mne.preprocessing.ICA import _reset [as 别名]
def test_ica_reset(method):
"""Test ICA resetting."""
_skip_check_picard(method)
raw = read_raw_fif(raw_fname).crop(0.5, stop).load_data()
picks = pick_types(raw.info, meg=True, stim=False, ecg=False,
eog=False, exclude='bads')[:10]
run_time_attrs = (
'_pre_whitener',
'unmixing_matrix_',
'mixing_matrix_',
'n_components_',
'n_samples_',
'pca_components_',
'pca_explained_variance_',
'pca_mean_'
)
with warnings.catch_warnings(record=True): # convergence
ica = ICA(
n_components=3, max_pca_components=3, n_pca_components=3,
method=method, max_iter=1).fit(raw, picks=picks)
assert_true(all(hasattr(ica, attr) for attr in run_time_attrs))
assert_not_equal(ica.labels_, None)
ica._reset()
assert_true(not any(hasattr(ica, attr) for attr in run_time_attrs))
assert_not_equal(ica.labels_, None)