Exemplos de MDM.fit_predict em Python

Exemplo n.º 1

Arquivo: test_classification.py Projeto: alexandrebarachant/pyRiemann

def test_MDM_predict():
    """Test prediction of MDM"""
    covset = generate_cov(100, 3)
    labels = np.array([0, 1]).repeat(50)
    mdm = MDM(metric='riemann')
    mdm.fit(covset, labels)
    mdm.predict(covset)

    # test fit_predict
    mdm = MDM(metric='riemann')
    mdm.fit_predict(covset, labels)

    # test transform
    mdm.transform(covset)

    # predict proba
    mdm.predict_proba(covset)

    # test n_jobs
    mdm = MDM(metric='riemann', n_jobs=2)
    mdm.fit(covset, labels)
    mdm.predict(covset)

Exemplo n.º 2

Arquivo: test_classification.py Projeto: mesca/pyRiemann

def test_MDM_predict():
    """Test prediction of MDM"""
    covset = generate_cov(100, 3)
    labels = np.array([0, 1]).repeat(50)
    mdm = MDM(metric='riemann')
    mdm.fit(covset, labels)
    mdm.predict(covset)

    # test fit_predict
    mdm = MDM(metric='riemann')
    mdm.fit_predict(covset, labels)

    # test transform
    mdm.transform(covset)

    # predict proba
    mdm.predict_proba(covset)

    # test n_jobs
    mdm = MDM(metric='riemann', n_jobs=2)
    mdm.fit(covset, labels)
    mdm.predict(covset)

Exemplo n.º 3

Arquivo: test_classification.py Projeto: jona-sassenhagen/pyRiemann

def test_MDM_fit_predict():
    """Test Fit & predict of MDM"""
    covset = generate_cov(100,3)
    labels = np.array([0,1]).repeat(50)
    mdm = MDM(metric='riemann')
    mdm.fit_predict(covset,labels)

Exemplo n.º 4

Arquivo: test_classification.py Projeto: bibekjoshi54/grasp-lift-eeg-cat-dog-solution-updated

def test_MDM_fit_predict():
    """Test Fit & predict of MDM"""
    covset = generate_cov(100, 3)
    labels = np.array([0, 1]).repeat(50)
    mdm = MDM(metric='riemann')
    mdm.fit_predict(covset, labels)