Adding __str__ for OpenMLFlow

Author: Neeratyoy

openml/evaluations/evaluation.py

@@ -52,23 +52,23 @@ def __str__(self):
         object_dict = self.__dict__
         output_str = ''
         base_url = 'https://www.openml.org/'
-        upload = '\n%15s: %s\n\n' % ('Upload Time', object_dict['upload_time'])
+        upload = '\n%15s: %s\n\n' % ('Upload Date', object_dict['upload_time'])
         run = '%15s: %d\n' % ('Run ID', object_dict['run_id'])
         run = run + '%15s: %s\n\n' % ('OpenML Run URL',
-                                    base_url + 'r/' + str(object_dict['run_id']))
+                                      base_url + 'r/' + str(object_dict['run_id']))
         task = '%15s: %d\n' % ('Task ID', object_dict['task_id'])
         task = task + '%15s: %s\n\n' % ('OpenML Task URL',
-                                    base_url + 't/' + str(object_dict['task_id']))
+                                        base_url + 't/' + str(object_dict['task_id']))
         flow = '%15s: %d\n' % ('Flow ID', object_dict['flow_id'])
         flow = flow + '%15s: %s\n' % ('Flow Name', object_dict['flow_name'])
         flow = flow + '%15s: %s\n\n' % ('OpenML Flow URL',
-                                    base_url + 'f/' + str(object_dict['flow_id']))
+                                        base_url + 'f/' + str(object_dict['flow_id']))
         setup = '%15s: %d\n\n' % ('Setup ID', object_dict['setup_id'])
         data = '%15s: %d\n' % ('Data ID', int(object_dict['data_id']))
         data = data + '%15s: %s\n' % ('Data Name', object_dict['data_name'])
         data = data + '%15s: %s\n\n' % ('OpenML Data URL',
-                                    base_url + 'd/' + str(object_dict['data_id']))
+                                        base_url + 'd/' + str(object_dict['data_id']))
         metric = '%15s: %s\n' % ('Metric Used', object_dict['function'])
         value = '%15s: %f\n' % ('Result', object_dict['value'])
-
-        return upload + run + task + flow + setup + data + metric + value
+        output_str = upload + run + task + flow + setup + data + metric + value
+        return output_str

openml/flows/flow.py

@@ -132,6 +132,25 @@ def __init__(self, name, description, model, components, parameters,
 
         self.extension = get_extension_by_flow(self)
 
+    def __str__(self):
+        object_dict = self.__dict__
+        output_str = ''
+        id = '\n%16s: %s\n' % ('Flow ID', object_dict['flow_id'])
+        version = '%16s: %s\n' % ('Flow Version', object_dict['version'])
+        url = '%16s: %s\n' % ('Flow URL', 'https://www.openml.org/f/' + str(object_dict['flow_id']))
+        name = '%16s: %s\n' % ('Flow Name', object_dict['name'])
+        description = '%16s: %s\n\n' % ('Flow Description', object_dict['description'])
+        binary = ''
+        if object_dict['binary_url'] is not None:
+            binary = '%16s: %s\n\n' % ('Binary URL', object_dict['binary_url'])
+        upload = '%16s: %s\n' % ('Upload Date', object_dict['upload_date'].replace('T', ' '))
+        language = '%16s: %s\n' % ('Language', object_dict['language'])
+        dependencies = '%16s: %s\n' % ('Dependencies', object_dict['dependencies'])
+        # 3740 for example
+        output_str = id + version + url + name + description + binary + upload + \
+            language + dependencies
+        return output_str
+
     def _to_xml(self) -> str:
         """Generate xml representation of self for upload to server.