Make approved usage for Intel(R) DAAL name (#303)

Author: Vyacheslav-Smirnov

sdc/distributed.py

@@ -879,7 +879,7 @@ def f(arr):
             return self._run_call_rebalance_array(lhs, assign, rhs.args)
 
         # output of mnb.predict is 1D with same size as 1st dimension of input
-        # TODO: remove ml module and use new DAAL API
+        # TODO: remove ml module and use new Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) API
         if func_name == 'predict':
             getattr_call = guard(get_definition, self.state.func_ir, func_var)
             if (getattr_call and self.state.typemap[getattr_call.value.name] == sdc.ml.naive_bayes.mnb_type):

sdc/ml/naive_bayes.py

@@ -131,7 +131,7 @@ def resolve_predict(self, dict, args, kws):
     ll.add_symbol('dtor_mnb', daal_wrapper.dtor_mnb)
 except ImportError:
     if debug_prints():  # pragma: no cover
-        print("daal import error")
+        print("Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) import error")
 
 
 @lower_builtin(MultinomialNB, types.intp)

sdc/ml/svc.py

@@ -131,7 +131,7 @@ def resolve_predict(self, dict, args, kws):
     ll.add_symbol('dtor_svc', daal_wrapper.dtor_svc)
 except ImportError:
     if debug_prints():  # pragma: no cover
-        print("daal import error")
+        print("Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) import error")
 
 
 @lower_builtin(SVC, types.intp)