def setupClass(cls):
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog, prepend=False)
cls.res1 = Logit(data.endog, data.exog).fit(method="newton", disp=0)
res2 = Spector()
res2.logit()
cls.res2 = res2
def setupClass(cls):
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog)
cls.res1 = Logit(data.endog, data.exog).fit(method="newton", disp=0)
res2 = Spector()
res2.logit()
cls.res2 = res2
def __init__(self):
from results.results_discrete import Spector
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog)
self.data = data
self.res1 = Logit(data.endog, data.exog).fit(method="newton", disp=0)
res2 = Spector()
res2.logit()
self.res2 = res2
def setupClass(cls):
# import scipy
# major, minor, micro = scipy.__version__.split('.')[:3]
# if int(minor) < 9:
# raise SkipTest
#Skip this unconditionally for release 0.3.0
#since there are still problems with scipy 0.9.0 on some machines
#Ralf on mailing list 2011-03-26
raise SkipTest
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog)
res2 = Spector()
res2.logit()
cls.res2 = res2
cls.res1 = Logit(data.endog, data.exog).fit(method="bfgs", disp=0)
def setupClass(cls):
# import scipy
# major, minor, micro = scipy.__version__.split('.')[:3]
# if int(minor) < 9:
# raise SkipTest
# Skip this unconditionally for release 0.3.0
# since there are still problems with scipy 0.9.0 on some machines
# Ralf on mailing list 2011-03-26
raise SkipTest
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog)
res2 = Spector()
res2.logit()
cls.res2 = res2
cls.res1 = Logit(data.endog, data.exog).fit(method="bfgs", disp=0)
