Creating a setter for AlgorithmTransformer that sets projector file

bob/bio/base/pipelines/vanilla_biometrics/wrappers.py

@@ -358,6 +358,22 @@ def checkpoint_vanilla_biometrics(
 
     if isinstance(pipeline.biometric_algorithm, BioAlgorithmLegacy):
         pipeline.biometric_algorithm.base_dir = bio_ref_scores_dir
+
+        # Here we need to check if the LAST transformer is
+        # 1. is instance of CheckpointWrapper
+        # 2. Its estimator is instance of AlgorithmTransformer
+        if (
+            isinstance(pipeline.transformer[-1], CheckpointWrapper)
+            and hasattr(pipeline.transformer[-1].estimator, "estimator")
+            and isinstance(
+                pipeline.transformer[-1].estimator.estimator, AlgorithmTransformer
+            )
+        ):
+
+            pipeline.transformer[
+                -1
+            ].estimator.estimator.projector_file = bio_ref_scores_dir
+
     else:
         pipeline.biometric_algorithm = BioAlgorithmCheckpointWrapper(
             pipeline.biometric_algorithm, base_dir=bio_ref_scores_dir, hash_fn=hash_fn

bob/bio/base/transformers/algorithm.py

@@ -51,7 +51,7 @@ class AlgorithmTransformer(TransformerMixin, BaseEstimator):
             raise ValueError(f"{instance} needs to be picklable")
 
         self.instance = instance
-        self.projector_file = projector_file
+        self._projector_file = projector_file
         super().__init__(**kwargs)
 
     def fit(self, X, y=None):
@@ -74,6 +74,16 @@ class AlgorithmTransformer(TransformerMixin, BaseEstimator):
                 for data, metadata in zip(X, metadata)
             ]
 
+    @property
+    def projector_file(self):
+        return self._projector_file
+
+    @projector_file.setter
+    def projector_file(self, v):
+        base_dir = os.path.dirname(v)
+        filename = os.path.basename(self.projector_file)
+        self._projector_file = os.path.join(base_dir, filename)
+
     def _more_tags(self):
         return {
             "stateless": not self.instance.requires_projector_training,