lazzy evaluation

Author: mgraffg

CompStats/__init__.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-__version__ = '0.1.11'
+__version__ = '0.1.12'
 from CompStats.bootstrap import StatisticSamples
 from CompStats.measurements import CI, SE, difference_p_value
 from CompStats.performance import performance, difference, all_differences, plot_performance, plot_difference

CompStats/interface.py

@@ -186,6 +186,7 @@ def __call__(self, y_pred, name=None):
                 k = 1
             name = f'alg-{k}'
         self.best = None
+        self.statistic = None
         self.predictions[name] = np.asanyarray(y_pred)
         samples = self._statistic_samples
         calls = samples.calls
@@ -296,14 +297,23 @@ def statistic(self):
         >>> perf.statistic
         {'alg-1': 1.0, 'forest': 0.9500891265597148}     
         """
-
+        if hasattr(self, '_statistic') and self._statistic is not None:
+            return self._statistic
+        BiB = True if self.score_func is not None else False
         data = sorted([(k, self.statistic_func(self.y_true, v))
                        for k, v in self.predictions.items()],
-                      key=lambda x: self.sorting_func(x[1]), 
-                      reverse=self.statistic_samples.BiB)
+                      key=lambda x: self.sorting_func(x[1]),
+                      reverse=BiB)
         if len(data) == 1:
-            return data[0][1]
-        return dict(data)
+            self._statistic = data[0][1]
+        else:
+            self._statistic = dict(data)
+        return self._statistic
+    
+    @statistic.setter
+    def statistic(self, value):
+        """statistic setter"""
+        self._statistic = value
 
     @property
     def se(self):