Python Logit.raise_on_perfect_prediction 예제들

예제 #1

파일: test_discrete.py 프로젝트: AnaMP/statsmodels

def test_perfect_prediction():
    cur_dir = os.path.dirname(os.path.abspath(__file__))
    iris_dir = os.path.join(cur_dir, '..', '..', 'genmod', 'tests', 'results')
    iris_dir = os.path.abspath(iris_dir)
    iris = np.genfromtxt(os.path.join(iris_dir, 'iris.csv'), delimiter=",",
                            skip_header=1)
    y = iris[:,-1]
    X = iris[:,:-1]
    X = X[y != 2]
    y = y[y != 2]
    X = sm.add_constant(X, prepend=True)
    mod = Logit(y,X)
    assert_raises(PerfectSeparationError, mod.fit)
    #turn off raise PerfectSeparationError
    mod.raise_on_perfect_prediction = False
    mod.fit(disp=False)  #should not raise

예제 #2

def test_perfect_prediction():
    cur_dir = os.path.dirname(os.path.abspath(__file__))
    iris_dir = os.path.join(cur_dir, '..', '..', 'genmod', 'tests', 'results')
    iris_dir = os.path.abspath(iris_dir)
    iris = np.genfromtxt(os.path.join(iris_dir, 'iris.csv'), delimiter=",",
                            skip_header=1)
    y = iris[:,-1]
    X = iris[:,:-1]
    X = X[y != 2]
    y = y[y != 2]
    X = sm.add_constant(X, prepend=True)
    mod = Logit(y,X)
    assert_raises(PerfectSeparationError, mod.fit)
    #turn off raise PerfectSeparationError
    mod.raise_on_perfect_prediction = False
    mod.fit(disp=False)  #should not raise