mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Objective: Use LP value as feature
This commit is contained in:
@@ -23,10 +23,12 @@ def test_x_y_predict() -> None:
|
||||
{
|
||||
"Lower bound": 1.0,
|
||||
"Upper bound": 2.0,
|
||||
"LP value": 3.0,
|
||||
},
|
||||
{
|
||||
"Lower bound": 1.5,
|
||||
"Upper bound": 2.2,
|
||||
"LP value": 3.4,
|
||||
},
|
||||
]
|
||||
|
||||
@@ -41,7 +43,7 @@ def test_x_y_predict() -> None:
|
||||
)
|
||||
|
||||
# Should build x correctly
|
||||
x_expected = np.array([[1.0, 2.0], [1.0, 2.0]])
|
||||
x_expected = np.array([[1.0, 2.0, 3.0], [1.0, 2.0, 3.4]])
|
||||
assert_array_equal(comp.x([instance]), x_expected)
|
||||
|
||||
# Should build y correctly
|
||||
|
||||
Reference in New Issue
Block a user