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test fixes

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This commit is contained in:
Liam Brydon
2025-11-07 08:32:05 +13:00
parent cfd8d7440b
commit dddea79daf
2 changed files with 4 additions and 15 deletions
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9
tests/test_enviformer.py
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@ -42,9 +42,7 @@ class EnviFormerTest(TestCase):
threshold = float(0.5) threshold = float(0.5)
data_package_objs = [self.BBD_SUBSET] data_package_objs = [self.BBD_SUBSET]
eval_packages_objs = [self.BBD_SUBSET] eval_packages_objs = [self.BBD_SUBSET]
mod = EnviFormer.create( mod = EnviFormer.create(self.package, data_package_objs, threshold=threshold)
self.package, data_package_objs, eval_packages_objs, threshold=threshold
)
mod.build_dataset() mod.build_dataset()
mod.build_model() mod.build_model()
@ -57,12 +55,9 @@ class EnviFormerTest(TestCase):
with self.settings(MODEL_DIR=tmpdir): with self.settings(MODEL_DIR=tmpdir):
threshold = float(0.5) threshold = float(0.5)
data_package_objs = [self.BBD_SUBSET] data_package_objs = [self.BBD_SUBSET]
eval_packages_objs = [self.BBD_SUBSET]
mods = [] mods = []
for _ in range(4): for _ in range(4):
mod = EnviFormer.create( mod = EnviFormer.create(self.package, data_package_objs, threshold=threshold)
self.package, data_package_objs, eval_packages_objs, threshold=threshold
)
mod.build_dataset() mod.build_dataset()
mod.build_model() mod.build_model()
mods.append(mod) mods.append(mod)

10
tests/test_model.py
View File

@ -72,7 +72,6 @@ class ModelTest(TestCase):
self.package, self.package,
rule_package_objs, rule_package_objs,
data_package_objs, data_package_objs,
eval_packages_objs,
threshold=threshold, threshold=threshold,
name="ECC - BBD - 0.5", name="ECC - BBD - 0.5",
description="Created MLRelativeReasoning in Testcase", description="Created MLRelativeReasoning in Testcase",
@ -84,9 +83,7 @@ class ModelTest(TestCase):
mod.build_dataset() mod.build_dataset()
mod.build_model() mod.build_model()
mod.multigen_eval = True mod.evaluate_model(True, eval_packages_objs, n_splits=2)
mod.save()
mod.evaluate_model(n_splits=2)
results = mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C") results = mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C")
@ -103,7 +100,6 @@ class ModelTest(TestCase):
self.package, self.package,
rule_package_objs, rule_package_objs,
data_package_objs, data_package_objs,
eval_packages_objs,
threshold=threshold, threshold=threshold,
min_count=5, min_count=5,
max_count=0, max_count=0,
@ -113,8 +109,6 @@ class ModelTest(TestCase):
mod.build_dataset() mod.build_dataset()
mod.build_model() mod.build_model()
mod.multigen_eval = True mod.evaluate_model(True, eval_packages_objs, n_splits=2)
mod.save()
mod.evaluate_model(n_splits=2)
results = mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C") results = mod.predict("CCN(CC)C(=O)C1=CC(=CC=C1)C")