Doctorado-ML/benchmark
1
0
Fork 0
mirror of https://github.com/Doctorado-ML/benchmark.git synced 2025-08-15 23:45:54 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix format issue

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2022-04-28 11:18:49 +02:00
parent b347d9025b
commit 3f4a04ab50
2 changed files with 23 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
benchmark/tests/Benchmark_test.py
View File

@@ -80,7 +80,7 @@ class BenchmarkTest(unittest.TestCase):
benchmark = Benchmark("accuracy", visualize=False)
benchmark.compile_results()
benchmark.save_results()
with patch("sys.stdout", new=StringIO()) as fake_out:
with patch("sys.stdout", new=StringIO()):
benchmark.exreport()
self.assertFalse(os.path.exists(Files.exreport_pdf))
self.assertFalse(os.path.exists(Folders.report))
@@ -116,7 +116,7 @@ class BenchmarkTest(unittest.TestCase):
benchmark = Benchmark("accuracy", visualize=False)
benchmark.compile_results()
benchmark.save_results()
with patch("sys.stdout", new=StringIO()) as fake_out:
with patch("sys.stdout", new=StringIO()):
benchmark.exreport()
benchmark.excel()
file_name = benchmark.get_excel_file_name()

32
benchmark/tests/Summary_test.py
View File

@@ -23,7 +23,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-09-30",
"time": "11:42:07",
"stratified": "0",
"file": "results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json",
"file": "results_accuracy_STree_iMac27_2021-09-30_11:42:07_0"
".json",
"metric": 0.04544339345094904,
"duration": 624.2505249977112,
},
@@ -35,7 +36,8 @@ class SummaryTest(unittest.TestCase):
"date": "2022-04-20",
"time": "10:52:20",
"stratified": "0",
"file": "results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json",
"file": "results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0."
"json",
"metric": 0.04340676203831255,
"duration": 22591.471411943436,
},
@@ -47,7 +49,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-10-27",
"time": "09:40:40",
"stratified": "0",
"file": "results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json",
"file": "results_accuracy_STree_iMac27_2021-10-27_09:40:40_0."
"json",
"metric": 0.04158163842230773,
"duration": 3395.009148836136,
},
@@ -59,7 +62,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-11-01",
"time": "19:17:07",
"stratified": "0",
"file": "results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json",
"file": "results_accuracy_STree_macbook-pro_2021-11-01_19:17:"
"07_0.json",
"metric": 0.03789928437296904,
"duration": 4115.042420864105,
},
@@ -71,7 +75,8 @@ class SummaryTest(unittest.TestCase):
"date": "2022-01-14",
"time": "12:39:30",
"stratified": "0",
"file": "results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json",
"file": "results_accuracy_RandomForest_iMac27_2022-01-14_12:39"
":30_0.json",
"metric": 0.03627309062515771,
"duration": 272.7363500595093,
},
@@ -93,7 +98,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-09-30",
"time": "11:42:07",
"stratified": "0",
"file": "results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json",
"file": "results_accuracy_STree_iMac27_2021-09-30_11:42:07_0"
".json",
"metric": 0.04544339345094904,
"duration": 624.2505249977112,
},
@@ -105,7 +111,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-10-27",
"time": "09:40:40",
"stratified": "0",
"file": "results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json",
"file": "results_accuracy_STree_iMac27_2021-10-27_09:40:40_0"
".json",
"metric": 0.04158163842230773,
"duration": 3395.009148836136,
},
@@ -117,7 +124,8 @@ class SummaryTest(unittest.TestCase):
"date": "2021-11-01",
"time": "19:17:07",
"stratified": "0",
"file": "results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json",
"file": "results_accuracy_STree_macbook-pro_2021-11-01_19:17:"
"07_0.json",
"metric": 0.03789928437296904,
"duration": 4115.042420864105,
},
@@ -209,7 +217,7 @@ class SummaryTest(unittest.TestCase):
title = "**Test**"
report.show_result(data={}, title=title)
computed = fake_out.getvalue()
expected = f"** **Test** has No data **\n"
expected = "** **Test** has No data **\n"
self.assertEqual(computed, expected)
def test_best_results_datasets(self):
@@ -220,13 +228,15 @@ class SummaryTest(unittest.TestCase):
"balance-scale": (
0.83616,
{},
"results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json",
"results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0."
"json",
"Test default paramters with RandomForest",
),
"balloons": (
0.5566666666666668,
{"max_features": "auto", "splitter": "mutual"},
"results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json",
"results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0."
"json",
"default B",
),
}