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FIX Mantis solver: align with updated Linear Probe Adapter #41

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Merged
felixdivo merged 3 commits into from
Jun 13, 2026
Merged

FIX Mantis solver: align with updated Linear Probe Adapter #41

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e72d8b2
Fix mantis: removed max_iter arg / remove penalty, C, alpha parameter…
bryan29-ly Jun 2, 2026
7af482d
FIX mantis: align solver with updated LinearProbeAdapter API
bryan29-ly Jun 2, 2026
c7fe22b
Merge branch 'main' into fix-mantis-linearprobe
felixdivo Jun 13, 2026
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11 changes: 8 additions & 3 deletions solvers/mantis.py
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Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,8 @@ def _extract_embeddings(self, X):
else:
embedding_dim = 128
all_embeddings.append(
np.zeros((batch_end - batch_idx, embedding_dim), dtype=np.float32)
np.zeros((batch_end - batch_idx, embedding_dim),
dtype=np.float32)
)

# Concatenate all embeddings
Expand Down Expand Up @@ -157,7 +158,8 @@ def set_objective(self, task, X_train, y_train, **meta):
network = network.from_pretrained(self.checkpoint)

self._network = network
self._trainer = MantisTrainer(device=device, network=self._network)
self._trainer = MantisTrainer(
device=device, network=self._network)
self._loaded_checkpoint = self.checkpoint
print(
f"✓ Mantis checkpoint loaded: {self.checkpoint} on device: {device}"
Expand All @@ -176,8 +178,11 @@ def run(self, _):
self._adapter = LinearProbeAdapter(
encoder=self,
task=self.task,
n_estimators=self.n_estimators,
classifier=self.classifier,
penalty=self.penalty,
C=self.C,
alpha=self.alpha,
n_estimators=self.n_estimators,
)
self._adapter.fit(self.X_train, self.y_train)

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