4a52511469992d2abe0686bc6d1588f7469cbb3f,mne/decoding/tests/test_receptive_field.py,,test_inverse_coef,#,492

Before Change


    n_feats, n_targets, n_samples = 5, 60, 50
    X, y = make_data(n_feats, n_targets, n_samples, tmin, tmax)
    for estimator in (0., Ridge(alpha=0.)):
        rf = ReceptiveField(tmin, tmax, 1., estimator=estimator, patterns=True)
        with pytest.warns((RuntimeWarning, UserWarning),
                          match="[Singular|scipy.linalg.solve]"):
            rf.fit(y, X)


run_tests_if_main()

After Change


    n_delays = int((tmax - tmin) + 1)

    // Check coefficient dims, for all estimator types
    X, y = _make_data(n_feats, n_targets, n_samples, tmin, tmax)
    tdr = TimeDelayingRidge(tmin, tmax, 1., 0.1, "laplacian")
    for estimator in (0., 0.01, Ridge(alpha=0.), tdr):
        rf = ReceptiveField(tmin, tmax, 1., estimator=estimator,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: mne-tools/mne-python
Commit Name: 4a52511469992d2abe0686bc6d1588f7469cbb3f
Time: 2019-05-08
Author: larson.eric.d@gmail.com
File Name: mne/decoding/tests/test_receptive_field.py
Class Name:
Method Name: test_inverse_coef


Project Name: pytorch/ignite
Commit Name: 7753eabc5af8bed2cca4713805613adfbc460a8e
Time: 2021-02-21
Author: francois.cokelaer@gmail.com
File Name: tests/ignite/metrics/test_precision.py
Class Name:
Method Name: _test_distrib_integration_multilabel


Project Name: pytorch/ignite
Commit Name: 7753eabc5af8bed2cca4713805613adfbc460a8e
Time: 2021-02-21
Author: francois.cokelaer@gmail.com
File Name: tests/ignite/metrics/test_recall.py
Class Name:
Method Name: _test_distrib_integration_multilabel