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Method setup_class

statsmodels/tools/tests/test_numdiff.py:149–158  ·  view source on GitHub ↗
(cls)

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147class TestGradLogit(CheckGradLoglikeMixin):
148 @classmethod
149 def setup_class(cls):
150 data = sm.datasets.spector.load()
151 data.exog = sm.add_constant(data.exog, prepend=False)
152 #mod = sm.Probit(data.endog, data.exog)
153 cls.mod = sm.Logit(data.endog, data.exog)
154 #res = mod.fit(method="newton")
155 cls.params = [np.array([1,0.25,1.4,-7])]
156 ##loglike = mod.loglike
157 ##score = mod.score
158 ##hess = mod.hessian
159
160
161class CheckDerivativeMixin:

Callers 3

setup_classMethod · 0.45
setup_classMethod · 0.45
setup_classMethod · 0.45

Calls 1

loadMethod · 0.45

Tested by

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