diff --git a/jedi/inference/value/function.py b/jedi/inference/value/function.py
index 77ddaae2..fd3c2a04 100644
--- a/jedi/inference/value/function.py
+++ b/jedi/inference/value/function.py
@@ -80,6 +80,9 @@ class FunctionMixin(object):
             return LambdaName(self)
         return ValueName(self, self.tree_node.name)
 
+    def is_function(self):
+        return True
+
     def py__name__(self):
         return self.name.string_name
 
diff --git a/jedi/inference/value/instance.py b/jedi/inference/value/instance.py
index aab5b800..af0a59e4 100644
--- a/jedi/inference/value/instance.py
+++ b/jedi/inference/value/instance.py
@@ -195,14 +195,6 @@ class _BaseTreeInstance(AbstractInstanceValue):
                 # Propably from the metaclass.
                 yield f
 
-    def _get_annotation_init_functions(self):
-        filter = next(self.class_value.get_filters())
-        for init_name in filter.get('__init__'):
-            for init in init_name.infer():
-                if init.is_function():
-                    for signature in init.get_signatures():
-                        yield signature.value
-
     @inference_state_method_cache()
     def create_instance_context(self, class_context, node):
         new = node
diff --git a/jedi/inference/value/klass.py b/jedi/inference/value/klass.py
index 2acd21e0..b7d79646 100644
--- a/jedi/inference/value/klass.py
+++ b/jedi/inference/value/klass.py
@@ -145,12 +145,6 @@ class ClassMixin(object):
     def py__name__(self):
         return self.name.string_name
 
-    def get_param_names(self):
-        for value_ in self.py__getattribute__(u'__init__'):
-            if value_.is_function():
-                return list(value_.get_param_names())[1:]
-        return []
-
     @inference_state_method_generator_cache()
     def py__mro__(self):
         mro = [self]