Removed the sketch of ZTNorm

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

@@ -148,69 +148,6 @@ class VanillaBiometrics(object):
         return scores
 
 
-class VanillaBiometricsZTNorm(object):
-    """
-    Vanilla Biometrics Pipelines that runs ZT Score Normalization
-    """
-
-    def __init__(vanilla_pipeline):
-        self.vanilla_pipeline = vanilla_pipeline
-
-    def __call__(
-        self,
-        background_model_samples,
-        biometric_reference_samples,
-        probe_samples,
-        z_probe_samples,
-        t_biometric_reference_samples,
-        allow_scoring_with_all_biometric_references=False,
-    ):
-        logger.info(
-            f" >> Vanilla Biometrics: Training background model with pipeline {self.transformer}"
-        )
-
-        # Training background model (fit will return even if samples is ``None``,
-        # in which case we suppose the algorithm is not trainable in any way)
-        self.vanilla_pipeline.transformer = self.vanilla_pipeline.train_background_model(
-            background_model_samples
-        )
-
-        logger.info(
-            f" >> Creating biometric references with the biometric algorithm {self.biometric_algorithm}"
-        )
-
-        # Create biometric samples
-        biometric_references = self.vanilla_pipeline.create_biometric_reference(
-            biometric_reference_samples
-        )
-
-        logger.info(
-            f" >> Computing scores with the biometric algorithm {self.biometric_algorithm}"
-        )
-
-        # Scores all probes
-        scores = self.vanilla_pipeline.compute_scores(
-            probe_samples,
-            biometric_references,
-            allow_scoring_with_all_biometric_references,
-        )
-
-        # Return a list of SampleSets containing the Z-Statistics per
-        # biometric reference
-        zstatistics = self.compute_zstatistics(
-            zprobe_samples,
-            biometric_references,
-            allow_scoring_with_all_biometric_references,
-        )
-        z_norm_scores = self.znorm(scores, zstatistics)
-
-
-        # Create t-biometric references
-        t_biometric_references = self.vanilla_pipeline.create_biometric_reference(
-            t_biometric_reference_samples
-        )
-
-
 def dask_vanilla_biometrics(pipeline, npartitions=None):
     """
     Given a :py:class:`VanillaBiometrics`, wraps :py:meth:`VanillaBiometrics.transformer` and