#368 done

arekit/common/experiment/api/ctx_serialization.py

@@ -1,21 +1,17 @@
 from arekit.common.experiment.api.ctx_base import ExperimentContext
 from arekit.common.labels.scaler.base import BaseLabelScaler
-from arekit.common.opinions.annot.base import BaseOpinionAnnotator
 
 
 class ExperimentSerializationContext(ExperimentContext):
     """ Data, that is necessary for models training stage.
     """
 
-    def __init__(self, label_scaler, annot, name_provider):
+    def __init__(self, label_scaler, name_provider):
         assert(isinstance(label_scaler, BaseLabelScaler))
-        assert(isinstance(annot, BaseOpinionAnnotator) or annot is None)
         super(ExperimentSerializationContext, self).__init__(name_provider=name_provider)
 
         self.__label_scaler = label_scaler
 
-        self.__annot = annot
-
     @property
     def LabelsScaler(self):
         """ Declares the amount of labels utilized in experiment. The latter
@@ -27,14 +23,6 @@ def LabelsScaler(self):
     def LabelsCount(self):
         return self.__label_scaler.LabelsCount
 
-    @property
-    def Annotator(self):
-        """ Provides an instance of annotator that might be utilized
-            for attitudes labeling within a specific set of documents,
-            declared in a particular experiment.
-        """
-        return self.__annot
-
     @property
     def FramesConnotationProvider(self):
         raise NotImplementedError()

arekit/contrib/networks/core/input/ctx_serialization.py

@@ -4,10 +4,9 @@
 
 class NetworkSerializationContext(ExperimentSerializationContext):
 
-    def __init__(self, labels_scaler, annot, name_provider):
+    def __init__(self, labels_scaler, name_provider):
         super(NetworkSerializationContext, self).__init__(
-            label_scaler=labels_scaler, annot=annot,
-            name_provider=name_provider)
+            label_scaler=labels_scaler, name_provider=name_provider)
         self.__label_provider = MultipleLabelProvider(labels_scaler)
 
     @property