def test_conservative(self):
## Accuracy
df_res = gr.eval_conservative(self.model_2d, quantiles=[0.1, 0.1])
self.assertTrue(gr.df_equal(self.df_2d_qe, df_res, close=True))
## Invariant checks
self.inv_test.md_arg(gr.eval_conservative, df_arg="df_det")
self.inv_test.df_arg(gr.eval_conservative,
df_arg="df_det",
shortcut=True,
acc_none="var_det")
## Repeat scalar value
self.assertTrue(
gr.df_equal(
self.df_2d_qe,
gr.eval_conservative(self.model_2d, quantiles=0.1),
close=True,
))
## Pass-through
self.assertTrue(
gr.df_equal(
self.df_2d_qe.drop(["f", "g"], axis=1),
gr.eval_conservative(self.model_2d, quantiles=0.1, skip=True),
close=True,
))
def test_ev_conservative(self):
"""Check ev_conservative()
"""
df_res = gr.eval_conservative(self.model_default, df_det="nom")
self.assertTrue(
gr.df_equal(
df_res,
self.model_default >> gr.ev_conservative(df_det="nom")))
def test_conservative(self):
## Accuracy
df_res = gr.eval_conservative(self.model_2d, quantiles=[0.1, 0.1])
self.assertTrue(gr.df_equal(self.df_2d_qe, df_res, close=True))
## Repeat scalar value
self.assertTrue(
gr.df_equal(
self.df_2d_qe,
gr.eval_conservative(self.model_2d, quantiles=0.1),
close=True,
))
## Pass-through
self.assertTrue(
gr.df_equal(
self.df_2d_qe.drop(["f", "g"], axis=1),
gr.eval_conservative(self.model_2d, quantiles=0.1, skip=True),
close=True,
))