Fixing linearize

bob/pipelines/mixins.py

@@ -227,7 +227,10 @@ class SampleMixin(BaseEstimator):
         # Transform either samples or samplesets
         if isinstance(samples[0], Sample) or isinstance(samples[0], DelayedSample):
             kwargs = _make_kwargs_from_samples(samples, self.transform_extra_arguments)
-            features = super().transform([s.data for s in samples], **kwargs)
+            features = []
+            for s in samples:
+                features.append(super().transform(s.data, **kwargs))
+
             new_samples = [Sample(data, parent=s) for data, s in zip(features, samples)]
             return new_samples
         elif isinstance(samples[0], SampleSet):

bob/pipelines/transformers/linearize.py

@@ -10,7 +10,7 @@ import numpy as np
 
 def linearize(X):
     X = np.asarray(X)
-    return np.reshape(X, (X.shape[0], -1))
+    return np.reshape(X, (-1))
 
 
 class Linearize(FunctionTransformer):