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From good...@apache.org
Subject svn commit: r1518315 - in /incubator/climate/trunk/ocw: evaluation.py metrics.py tests/test_evaluation.py
Date Wed, 28 Aug 2013 18:21:02 GMT
Author: goodale
Date: Wed Aug 28 18:21:01 2013
New Revision: 1518315

URL: http://svn.apache.org/r1518315
Log:
CLIMATE-281: Updating Evaluation Class (and Metrics)

* Added a test to cover Evaluation.run() method using a simple Bias() calculation
* Updated all the methods in Evaluation so they have the proper use of self.
* Fixed a nested list when running metric.run() within _run_no_subregion_evaluation
* Updated the docstrings and returns from metrics.py so they now return Numpy Arrays across
the board

Modified:
    incubator/climate/trunk/ocw/evaluation.py
    incubator/climate/trunk/ocw/metrics.py
    incubator/climate/trunk/ocw/tests/test_evaluation.py

Modified: incubator/climate/trunk/ocw/evaluation.py
URL: http://svn.apache.org/viewvc/incubator/climate/trunk/ocw/evaluation.py?rev=1518315&r1=1518314&r2=1518315&view=diff
==============================================================================
--- incubator/climate/trunk/ocw/evaluation.py (original)
+++ incubator/climate/trunk/ocw/evaluation.py Wed Aug 28 18:21:01 2013
@@ -222,14 +222,14 @@ class Evaluation(object):
             logging.warning(error)
             return
 
-        if _should_run_regular_metrics():
+        if self._should_run_regular_metrics():
             if self.subregions:
-                self.results = _run_subregion_evaluation()
+                self.results = self._run_subregion_evaluation()
             else:
-                self.results = _run_no_subregion_evaluation()
+                self.results = self._run_no_subregion_evaluation()
 
-        if _should_run_unary_metrics():
-            self.unary_results = _run_unary_metric_evaluation()
+        if self._should_run_unary_metrics():
+            self.unary_results = self._run_unary_metric_evaluation()
 
     def _evaluation_is_valid(self):
         '''Check if the evaluation is well-formed.
@@ -240,8 +240,8 @@ class Evaluation(object):
         * If there is a regular metric there must be a reference dataset and
             at least one target dataset.
         '''
-        run_reg = _should_run_regular_metrics()
-        run_unary = _should_run_unary_metrics()
+        run_reg = self._should_run_regular_metrics()
+        run_unary = self._should_run_unary_metrics()
         reg_valid = self.ref_dataset != None and len(self.target_datasets) > 0
         unary_valid = self.ref_dataset != None or len(self.target_datasets) > 0
 
@@ -254,13 +254,13 @@ class Evaluation(object):
         else:
             return false
 
-    def _should_run_regular_metrics():
+    def _should_run_regular_metrics(self):
         return len(self.metrics) > 0
 
-    def _should_run_unary_metrics():
+    def _should_run_unary_metrics(self):
         return len(self.unary_metrics) > 0
 
-    def _run_subregion_evaluation():
+    def _run_subregion_evaluation(self):
         results = []
         for target in self.target_datasets:
             results.append([])
@@ -276,16 +276,17 @@ class Evaluation(object):
                     results[-1][-1].append(run_result)
         return results
 
-    def _run_no_subregion_evaluation():
+    def _run_no_subregion_evaluation(self):
         results = []
         for target in self.target_datasets:
             results.append([])
             for metric in self.metrics:
-                run_result = [metric.run(self.ref_dataset, target)]
+                datasets = (self.ref_dataset, target)
+                run_result = metric.run(datasets)
                 results[-1].append(run_result)
         return results
 
-    def _run_unary_metric_evaluation():
+    def _run_unary_metric_evaluation(self):
         unary_results = []
         for metric in self.unary_metrics:
             unary_results.append([])

Modified: incubator/climate/trunk/ocw/metrics.py
URL: http://svn.apache.org/viewvc/incubator/climate/trunk/ocw/metrics.py?rev=1518315&r1=1518314&r2=1518315&view=diff
==============================================================================
--- incubator/climate/trunk/ocw/metrics.py (original)
+++ incubator/climate/trunk/ocw/metrics.py Wed Aug 28 18:21:01 2013
@@ -46,8 +46,8 @@ class Metric():
                 binary, then datasets[0] contains the reference dataset and \
                 datasets[1] contains the target dataset.
         :type datasets: Tuple
-        :returns: A list containing the results of running the metric.
-        :trype: List
+        :returns: An Array containing the results of running the metric.
+        :trype: Numpy Array
         '''
 
 
@@ -72,11 +72,11 @@ class Bias(Metric):
                 reference dataset is given in datasets[0] and the target \
                 dataset is given in datasets[1].
         :type datasets: Tuple
-        :returns: A list containing the difference between the reference \
+        :returns: An array containing the difference between the reference \
                 dataset and the target dataset.
-        :rtype: List
+        :rtype: Numpy Array
         '''
-        return [datasets[0].values - datasets[1].values]
+        return datasets[0].values - datasets[1].values
 
 
 class TemporalStdDev(Metric):
@@ -99,7 +99,7 @@ class TemporalStdDev(Metric):
         :param datasets: The datasets on which to calculate the temporal \
                 std. dev. in datasets[0].
         :type datasets: Tuple
-        :returns: A list containing the temporal std. dev.
-        :rtype: List
+        :returns: An array containing the temporal std. dev.
+        :rtype: Numpy Array
         '''
         return datasets[0].values.std(axi=0, ddof=1)

Modified: incubator/climate/trunk/ocw/tests/test_evaluation.py
URL: http://svn.apache.org/viewvc/incubator/climate/trunk/ocw/tests/test_evaluation.py?rev=1518315&r1=1518314&r2=1518315&view=diff
==============================================================================
--- incubator/climate/trunk/ocw/tests/test_evaluation.py (original)
+++ incubator/climate/trunk/ocw/tests/test_evaluation.py Wed Aug 28 18:21:01 2013
@@ -117,6 +117,13 @@ class TestEvaluation(unittest.TestCase):
         self.assertEqual(len(self.eval.metrics), 0)
         self.eval.add_metrics([Bias(), Bias()])
         self.assertEqual(len(self.eval.metrics), 2)
+    
+    def test_bias_output_shape(self):
+        bias_eval = Evaluation(self.test_dataset, [self.another_test_dataset], [Bias()])
+        bias_eval.run()
+        input_shape = tuple(self.test_dataset.values.shape)
+        bias_results_shape = tuple(bias_eval.results[0][0].shape)
+        self.assertEqual(input_shape, bias_results_shape)
 
 if __name__  == '__main__':
     unittest.main()



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