Avoid implict marshmallow usage

qiskit/ignis/measurement/discriminator/filters.py

@@ -26,7 +26,6 @@
     BaseDiscriminationFitter
 from qiskit.result.result import Result
 from qiskit.result.models import ExperimentResultData
-from qiskit.validation.base import Obj
 
 
 class DiscriminationFilter:
@@ -88,7 +87,7 @@ def apply(self, raw_data: Result) -> Result:
         start = 0
         for idx, n_shots in enumerate(shots_per_experiment_result):
             memory = y_data[start:(start+n_shots)]
-            counts = Obj.from_dict(self.count(memory))
+            counts = self.count(memory)
             new_results.results[idx].data = ExperimentResultData(counts=counts,
                                                                  memory=memory)
             start += n_shots

qiskit/ignis/mitigation/measurement/filters.py

@@ -24,7 +24,6 @@
 import scipy.linalg as la
 import numpy as np
 import qiskit
-from qiskit.validation.base import Obj
 from qiskit import QiskitError
 from qiskit.tools import parallel_map
 from ...verification.tomography import count_keys
@@ -146,8 +145,7 @@ def apply(self,
                 task_args=(raw_data, method))
 
             for resultidx, new_counts in new_counts_list:
-                new_result.results[resultidx].data.counts = \
-                    Obj(**new_counts)
+                new_result.results[resultidx].data.counts = new_counts
 
             return new_result
 
@@ -326,8 +324,7 @@ def apply(self, raw_data, method='least_squares'):
                 task_args=(raw_data, method))
 
             for resultidx, new_counts in new_counts_list:
-                new_result.results[resultidx].data.counts = \
-                    Obj(**new_counts)
+                new_result.results[resultidx].data.counts = new_counts
 
             return new_result