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/dports/science/py-nilearn/nilearn-0.8.1/examples/02_decoding/
H A Dplot_haxby_full_analysis.py95 dummy_classifier = Decoder(estimator='dummy_classifier', cv=cv, variable
97 dummy_classifier.fit(task_data, classification_target,
99 mask_chance_scores[mask_name][category] = dummy_classifier.cv_scores_[1]
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/decoding/tests/
H A Dtest_decoder.py48 dummy_classifier = DummyClassifier(random_state=0) variable
87 param_grid = _check_param_grid(dummy_classifier, X, y_classification, None)
250 dummy_classifier.set_params(**param)
251 model = Decoder(estimator=dummy_classifier, mask=mask)
259 dummy_classifier.set_params(**param)
260 model = Decoder(estimator=dummy_classifier, mask=mask)
278 dummy_classifier.set_params(**param)
279 model = Decoder(estimator=dummy_classifier, mask=mask)
283 model = Decoder(estimator=dummy_classifier, mask=mask, scoring="foo")
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/decoding/
H A Ddecoder.py58 dummy_classifier=DummyClassifier(strategy='stratified',