Update README.md

Update README.md

README.md

@@ -1,12 +1,9 @@
-[![CI](https://github.com/Doctorado-ML/benchmark/actions/workflows/main.yml/badge.svg)](https://github.com/Doctorado-ML/benchmark/actions/workflows/main.yml)
 [![codecov](https://codecov.io/gh/Doctorado-ML/benchmark/branch/main/graph/badge.svg?token=ZRP937NDSG)](https://codecov.io/gh/Doctorado-ML/benchmark)
-[![Quality Gate Status](https://sonar.rmontanana.es/api/project_badges/measure?project=benchmark&metric=alert_status&token=336a6e501988888543c3153baa91bad4b9914dd2)](https://sonar.rmontanana.es/dashboard?id=benchmark)
-[![Technical Debt](https://sonar.rmontanana.es/api/project_badges/measure?project=benchmark&metric=sqale_index&token=336a6e501988888543c3153baa91bad4b9914dd2)](https://sonar.rmontanana.es/dashboard?id=benchmark)
 ![https://img.shields.io/badge/python-3.8%2B-blue](https://img.shields.io/badge/python-3.8%2B-brightgreen)
 
 # benchmark
 
-Benchmarking models
+Benchmarking Python models
 
 ## Experimentation
 

benchmark/Datasets.py

@@ -32,6 +32,8 @@ class DatasetsArff:
     def get_range_features(X, c_features):
         if c_features.strip() == "all":
             return list(range(X.shape[1]))
+        if c_features.strip() == "none":
+            return []
         return json.loads(c_features)
 
     def load(self, name, class_name):
@@ -129,29 +131,28 @@ class Datasets:
 
     def _init_names(self, dataset_name):
         file_name = os.path.join(self.dataset.folder(), Files.index)
-        default_class = "class"
         self.continuous_features = {}
         with open(file_name) as f:
             sets = f.read().splitlines()
             sets = [x for x in sets if not x.startswith("#")]
-            class_names = [default_class] * len(sets)
+        results = []
-        if "," in sets[0]:
+        class_names = []
-            result = []
+        for set_name in sets:
-            class_names = []
+            try:
-            for data in sets:
+                name, class_name, features = set_name.split(";")
-                name, class_name, features = data.split(",", 2)
+            except ValueError:
-                result.append(name)
+                class_name = "class"
-                class_names.append(class_name)
+                features = "all"
-                self.continuous_features[name] = features
+                name = set_name
-            sets = result
+            results.append(name)
-        else:
+            class_names.append(class_name)
-            for name in sets:
+            features = features.strip()
-                self.continuous_features[name] = None
+            self.continuous_features[name] = features
         # Set as dataset list the dataset passed as argument
         if dataset_name is None:
-            return class_names, sets
+            return class_names, results
         try:
-            class_name = class_names[sets.index(dataset_name)]
+            class_name = class_names[results.index(dataset_name)]
         except ValueError:
             raise ValueError(f"Unknown dataset: {dataset_name}")
         return [class_name], [dataset_name]

benchmark/ResultsBase.py

@@ -108,9 +108,11 @@ class BaseReport(abc.ABC):
                     status = (
                         Symbols.cross
                         if accuracy <= max_value
-                        else Symbols.upward_arrow
+                        else (
-                        if accuracy > max_value
+                            Symbols.upward_arrow
-                        else " "
+                            if accuracy > max_value
+                            else " "
+                        )
                     )
         if status != " ":
             if status not in self._compare_totals:
@@ -161,6 +163,11 @@ class StubReport(BaseReport):
     def header(self) -> None:
         self.title = self.data["title"]
         self.duration = self.data["duration"]
+        self.model = self.data["model"]
+        self.date = self.data["date"]
+        self.time = self.data["time"]
+        self.metric = self.data["score_name"]
+        self.platform = self.data["platform"]
 
     def footer(self, accuracy: float) -> None:
         self.accuracy = accuracy
@@ -195,9 +202,11 @@ class Summary:
                 self.models.add(model)
                 report = StubReport(
                     os.path.join(
-                        Folders.hidden_results
+                        (
-                        if self.hidden
+                            Folders.hidden_results
-                        else Folders.results,
+                            if self.hidden
+                            else Folders.results
+                        ),
                         result,
                     )
                 )

benchmark/__init__.py

@@ -10,7 +10,7 @@ from .Results import Report
 from ._version import __version__
 
 __author__ = "Ricardo Montañana Gómez"
-__copyright__ = "Copyright 2020-2023, Ricardo Montañana Gómez"
+__copyright__ = "Copyright 2020-2024, Ricardo Montañana Gómez"
 __license__ = "MIT License"
 __author_email__ = "ricardo.montanana@alu.uclm.es"
 

benchmark/_version.py

@@ -1 +1 @@
-__version__ = "0.5.0"
+__version__ = "1.0.1"

benchmark/scripts/app/templates/partials/table_report_bootstrap.html

@@ -88,7 +88,7 @@
         <button type="button"
                 class="btn-close"
                 aria-label="Close"
-                onclick="location.href = '/index/{{ compare }}'"></button>
+                onclick="location.href = '{{ back }}'"></button>
         <h7>
         <b>
           Total score: {{ "%.6f" % (data.results | sum(attribute="score") ) }}

benchmark/scripts/app/templates/partials/table_report_bulma.html

@@ -90,7 +90,7 @@
         {% endif %}
         <h2 class="has-text-white has-background-primary">
           <b>
-            <button class="delete" onclick="location.href = '/index/{{ compare }}'"></button>
+            <button class="delete" onclick="location.href = '{{ back }}'"></button>
             Total score: {{ "%.6f" % (data.results | sum(attribute="score") ) }}
           </b>
         </h2>

benchmark/tests/Arguments_test.py

@@ -68,7 +68,7 @@ class ArgumentsTest(TestBase):
         test_args = ["-n", "3", "-k", "date"]
         with self.assertRaises(SystemExit):
             arguments.parse(test_args)
-        self.assertRegexpMatches(
+        self.assertRegex(
             stderr.getvalue(),
             r"error: the following arguments are required: -m/--model",
         )
@@ -79,7 +79,7 @@ class ArgumentsTest(TestBase):
         test_args = ["-n", "3", "-m", "SVC"]
         with self.assertRaises(SystemExit):
             arguments.parse(test_args)
-        self.assertRegexpMatches(
+        self.assertRegex(
             stderr.getvalue(),
             r"error: the following arguments are required: -k/--key",
         )
@@ -114,7 +114,7 @@ class ArgumentsTest(TestBase):
         test_args = None
         with self.assertRaises(SystemExit):
             arguments.parse(test_args)
-        self.assertRegexpMatches(
+        self.assertRegex(
             stderr.getvalue(),
             r"error: the following arguments are required: -m/--model, "
             "-k/--key, --title",

benchmark/tests/Models_test.py

@@ -102,7 +102,7 @@ class ModelTest(TestBase):
         test = {
             "STree": ((11, 6, 4), 1.0),
             "Wodt": ((303, 152, 50), 0.9382022471910112),
-            "ODTE": ((7.86, 4.43, 3.37), 1.0),
+            "ODTE": ((786, 443, 337), 1.0),
             "Cart": ((23, 12, 5), 1.0),
             "SVC": ((0, 0, 0), 0.7078651685393258),
             "RandomForest": ((21.3, 11, 5.26), 1.0),

benchmark/tests/datasets/all.txt

@@ -1,2 +1,2 @@
-iris,class,all
+iris;class;all
-wine,class,[0, 1]
+wine;class;[0, 1]

benchmark/tests/results/grid_output_accuracy_STree.json

@@ -6,7 +6,7 @@
             "kernel": "liblinear",
             "multiclass_strategy": "ovr"
         },
-        "v. 1.3.1, Computed on Test on 2022-02-22 at 12:00:00 took 1s"
+        "v. 1.4.0, Computed on Test on 2022-02-22 at 12:00:00 took 1s"
     ],
     "balloons": [
         0.625,
@@ -15,6 +15,6 @@
             "kernel": "linear",
             "multiclass_strategy": "ovr"
         },
-        "v. 1.3.1, Computed on Test on 2022-02-22 at 12:00:00 took 1s"
+        "v. 1.4.0, Computed on Test on 2022-02-22 at 12:00:00 took 1s"
     ]
 }

benchmark/tests/scripts/Be_Main_test.py

@@ -120,7 +120,7 @@ class BeMainTest(TestBase):
                 module.main(parameter)
             self.assertEqual(msg.exception.code, 2)
             self.assertEqual(stderr.getvalue(), "")
-            self.assertRegexpMatches(stdout.getvalue(), message)
+            self.assertRegex(stdout.getvalue(), message)
 
     def test_be_main_best_params_non_existent(self):
         model = "GBC"

benchmark/tests/test_files/exreport_excel_Datasets.test

@@ -1,4 +1,4 @@
-1;1;"Datasets used in benchmark ver. 0.5.0"
+1;1;"Datasets used in benchmark ver. 1.0.1"
 2;1;" Default score accuracy"
 2;2;"Cross validation"
 2;6;"5 Folds"

benchmark/tests/test_files/report_datasets.test

@@ -1,4 +1,4 @@
-Datasets used in benchmark ver. 0.5.0
+Datasets used in benchmark ver. 1.0.1
 
 Dataset                        Sampl. Feat. Cont Cls Balance
 ============================== ====== ===== ==== === ==========================================