mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-09 19:08:51 -06:00
Remove sample.after_load
This commit is contained in:
@@ -103,8 +103,10 @@ class PrimalSolutionComponent(Component):
|
||||
)
|
||||
|
||||
def sample_predict(self, sample: Sample) -> Solution:
|
||||
assert sample.after_load is not None
|
||||
assert sample.after_load.variables is not None
|
||||
var_names = sample.get("var_names")
|
||||
var_categories = sample.get("var_categories")
|
||||
assert var_names is not None
|
||||
assert var_categories is not None
|
||||
|
||||
# Compute y_pred
|
||||
x, _ = self.sample_xy(None, sample)
|
||||
@@ -125,12 +127,10 @@ class PrimalSolutionComponent(Component):
|
||||
).T
|
||||
|
||||
# Convert y_pred into solution
|
||||
assert sample.after_load.variables.names is not None
|
||||
assert sample.after_load.variables.categories is not None
|
||||
solution: Solution = {v: None for v in sample.after_load.variables.names}
|
||||
solution: Solution = {v: None for v in var_names}
|
||||
category_offset: Dict[Hashable, int] = {cat: 0 for cat in x.keys()}
|
||||
for (i, var_name) in enumerate(sample.after_load.variables.names):
|
||||
category = sample.after_load.variables.categories[i]
|
||||
for (i, var_name) in enumerate(var_names):
|
||||
category = var_categories[i]
|
||||
if category not in category_offset:
|
||||
continue
|
||||
offset = category_offset[category]
|
||||
@@ -150,24 +150,21 @@ class PrimalSolutionComponent(Component):
|
||||
) -> Tuple[Dict[Category, List[List[float]]], Dict[Category, List[List[float]]]]:
|
||||
x: Dict = {}
|
||||
y: Dict = {}
|
||||
assert sample.after_load is not None
|
||||
assert sample.after_load.instance is not None
|
||||
assert sample.after_load.variables is not None
|
||||
assert sample.after_load.variables.names is not None
|
||||
assert sample.after_load.variables.categories is not None
|
||||
|
||||
instance_features = sample.get("instance_features_user")
|
||||
mip_var_values = sample.get("mip_var_values")
|
||||
var_features = sample.get("lp_var_features")
|
||||
var_names = sample.get("var_names")
|
||||
var_categories = sample.get("var_categories")
|
||||
if var_features is None:
|
||||
var_features = sample.get("var_features")
|
||||
|
||||
assert instance_features is not None
|
||||
assert var_features is not None
|
||||
assert var_names is not None
|
||||
assert var_categories is not None
|
||||
|
||||
for (i, var_name) in enumerate(sample.after_load.variables.names):
|
||||
for (i, var_name) in enumerate(var_names):
|
||||
# Initialize categories
|
||||
category = sample.after_load.variables.categories[i]
|
||||
category = var_categories[i]
|
||||
if category is None:
|
||||
continue
|
||||
if category not in x.keys():
|
||||
|
||||
Reference in New Issue
Block a user