remove feature checks

bob/bio/gmm/algorithm/GMM.py

@@ -141,22 +141,6 @@ class GMM(BioAlgorithm, BaseEstimator):
 
         self.ubm = None
 
-    def _check_feature(self, feature):
-        """Checks that the features are appropriate"""
-        if (
-            not isinstance(feature, np.ndarray)
-            or feature.ndim != 2
-            or feature.dtype != np.float64
-        ):
-            raise ValueError(
-                f"The given feature is not appropriate: \n{feature}"
-            )
-        if self.ubm is not None and feature.shape[1] != self.ubm.shape[1]:
-            raise ValueError(
-                "The given feature is expected to have %d elements, but it has %d"
-                % (self.ubm.shape[1], feature.shape[1])
-            )
-
     def save_model(self, ubm_file):
         """Saves the projector (UBM) to file."""
         # Saves the UBM to file
@@ -182,7 +166,6 @@ class GMM(BioAlgorithm, BaseEstimator):
 
         This is applied to the probes before scoring.
         """
-        self._check_feature(array)
         logger.debug("Projecting %d feature vectors", array.shape[0])
         # Accumulates statistics
         gmm_stats = self.ubm.transform(array)
@@ -196,9 +179,6 @@ class GMM(BioAlgorithm, BaseEstimator):
         Returns a GMMMachine tuned from the UBM with MAP on a biometric reference data.
         """
 
-        for feature in data:
-            self._check_feature(feature)
-
         # if input is a list (or SampleBatch) of 2 dimensional arrays, stack them
         if data[0].ndim == 2:
             data = np.vstack(data)