def test_LinearRegression_fit_with_no_xlabels(self):
ols = regressors.LinearRegression()
try:
ols.fit(self.X, self.y)
except Exception as e:
self.fail("Fitting with no xlabels raised unexpected "
"exception: {0}".format(e))
def test_LinearRegression_fit_with_xlabels_out_of_position_kwargs(self):
ols = regressors.LinearRegression()
labels = ['LABEL{0}'.format(i) for i in range(self.X.shape[1])]
try:
ols.fit(X=self.X, xlabels=labels, y=self.y)
except Exception as e:
self.fail("Fitting with xlabels with all parameters as "
"**kwargs raised unexpected exception: {0}".format(e))
def test_LinearRegression_fit_with_xlabels_mixed_kwarg(self):
ols = regressors.LinearRegression()
labels = ['LABEL{0}'.format(i) for i in range(self.X.shape[1])]
try:
ols.fit(self.X, self.y, xlabels=labels)
except Exception as e:
self.fail("Fitting with xlabels as **kwargs with y also as "
"**kwargs raised unexpected exception: {0}".format(e))
def test_LinearRegression_fit_with_xlabels_as_args(self):
ols = regressors.LinearRegression()
labels = ['LABEL{0}'.format(i) for i in range(self.X.shape[1])]
try:
ols.fit(self.X, self.y, labels)
except Exception as e:
self.fail("Fitting with xlabels as *args raised unexpected "
"exception: {0}".format(e))
def test_LinearRegression_summary(self):
ols = regressors.LinearRegression()
labels = ['LABEL{0}'.format(i) for i in range(self.X.shape[1])]
ols.fit(self.X, self.y, labels)
summary = ols.summary()
self.assertIsInstance(summary, pd.core.frame.DataFrame)
try:
str(summary)
except Exception as e:
self.fail("str(summary) raised "
"exception unexpectedly: {0}".format(e))
def test_LinearRegression_xlabel_dimensions_error_checking(self):
ols = regressors.LinearRegression()
with self.assertRaises(AssertionError):
ols.fit(self.X, self.y, xlabels=['LABEL1', 'LABEL2'])
def test_LinearRegression_fit_with_xlabels_args_out_of_pos_args_fails(
self):
ols = regressors.LinearRegression()
labels = ['LABEL{0}'.format(i) for i in range(self.X.shape[1])]
with self.assertRaises(AssertionError):
ols.fit(self.X, labels, self.y)