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Compte be_best & be_build_best tests

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Ricardo Montañana Gómez
2022-05-08 02:03:22 +02:00
parent 4fe1e10488
commit 8457c9b531
5 changed files with 182 additions and 1 deletions
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2
benchmark/tests/__init__.py
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@@ -16,6 +16,7 @@ from .scripts.Be_List_test import BeListTest
from .scripts.Be_Report_test import BeReportTest
from .scripts.Be_Summary_test import BeSummaryTest
from .scripts.Be_Grid_test import BeGridTest
from .scripts.Be_Best_test import BeBestTest
all = [
"UtilTest",
@@ -36,4 +37,5 @@ all = [
"BeReportTest",
"BeSummaryTest",
"BeGridTest",
"BeBestTest",
]

108
benchmark/tests/scripts/Be_Best_test.py Normal file
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@@ -0,0 +1,108 @@
import os
import json
from ...Utils import Folders, Files
from ..TestBase import TestBase
class BeBestTest(TestBase):
def setUp(self):
self.prepare_scripts_env()
def tearDown(self) -> None:
self.remove_files(
[Files.best_results("accuracy", "ODTE")],
Folders.results,
)
return super().tearDown()
def test_be_best_all(self):
stdout, stderr = self.execute_script("be_best", ["-s", "all"])
self.assertEqual(stderr.getvalue(), "")
self.check_output_file(stdout, "be_best_all")
def test_be_build_best_error(self):
stdout, _ = self.execute_script(
"be_build_best", ["-s", "accuracy", "-m", "SVC"]
)
self.assertEqual(stdout.getvalue(), "** No results found **\n")
def test_be_build_best(self):
self.execute_script("be_build_best", ["-s", "accuracy", "-m", "ODTE"])
expected_data = {
"balance-scale": [
0.96352,
{
"base_estimator__C": 57,
"base_estimator__gamma": 0.1,
"base_estimator__kernel": "rbf",
"base_estimator__multiclass_strategy": "ovr",
"n_estimators": 100,
"n_jobs": -1,
},
"results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json",
],
"balloons": [
0.785,
{
"base_estimator__C": 5,
"base_estimator__gamma": 0.14,
"base_estimator__kernel": "rbf",
"base_estimator__multiclass_strategy": "ovr",
"n_estimators": 100,
"n_jobs": -1,
},
"results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json",
],
}
name = Files.best_results("accuracy", "ODTE")
file_name = os.path.join(Folders.results, name)
with open(file_name, "r") as f:
computed_data = json.load(f)
for computed, expected in zip(computed_data, expected_data):
self.assertEqual(computed, expected)
for key, value in expected_data.items():
self.assertIn(key, computed_data)
self.assertEqual(computed_data[key][0], value[0])
self.assertSequenceEqual(computed_data[key][1], value[1])
def test_be_build_best_report(self):
stdout, _ = self.execute_script(
"be_build_best", ["-s", "accuracy", "-m", "ODTE", "-r", "1"]
)
expected_data = {
"balance-scale": [
0.96352,
{
"base_estimator__C": 57,
"base_estimator__gamma": 0.1,
"base_estimator__kernel": "rbf",
"base_estimator__multiclass_strategy": "ovr",
"n_estimators": 100,
"n_jobs": -1,
},
"results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json",
],
"balloons": [
0.785,
{
"base_estimator__C": 5,
"base_estimator__gamma": 0.14,
"base_estimator__kernel": "rbf",
"base_estimator__multiclass_strategy": "ovr",
"n_estimators": 100,
"n_jobs": -1,
},
"results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json",
],
}
name = Files.best_results("accuracy", "ODTE")
file_name = os.path.join(Folders.results, name)
with open(file_name, "r") as f:
computed_data = json.load(f)
for computed, expected in zip(computed_data, expected_data):
self.assertEqual(computed, expected)
for key, value in expected_data.items():
self.assertIn(key, computed_data)
self.assertEqual(computed_data[key][0], value[0])
self.assertSequenceEqual(computed_data[key][1], value[1])
self.check_output_file(stdout, "be_build_best_report")

2
benchmark/tests/scripts/Be_Grid_test.py
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@@ -60,7 +60,7 @@ class BeGridTest(TestBase):
for key, value in expected_data.items():
self.assertIn(key, computed_data)
self.assertEqual(computed_data[key][0], value[0])
self.assertEqual(computed_data[key][1], value[1])
self.assertSequenceEqual(computed_data[key][1], value[1])
def test_be_grid_no_input(self):
stdout, stderr = self.execute_script(

60
benchmark/tests/test_files/be_best_all.test Normal file
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@@ -0,0 +1,60 @@
balance-scale results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json
----------------------------------------------------------------------------------------------------
0.8361600 {}
----------------------------------------------------------------------------------------------------
Test default paramters with RandomForest
****************************************************************************************************
balloons results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json
----------------------------------------------------------------------------------------------------
0.5566667 {"max_features": "auto", "splitter": "mutual"}
----------------------------------------------------------------------------------------------------
default B
****************************************************************************************************
balance-scale
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balloons
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balance-scale
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balloons
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balance-scale
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balloons
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balance-scale
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************
balloons
----------------------------------------------------------------------------------------------------
1.0000000 ""
----------------------------------------------------------------------------------------------------
****************************************************************************************************

11
benchmark/tests/test_files/be_build_best_report.test Normal file
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@@ -0,0 +1,11 @@
******************************************************************************************************************************************************************
* Report Best accuracy Scores with ODTE in any platform *
******************************************************************************************************************************************************************
Dataset Score File/Message Hyperparameters
============================== ======== ============================================================================ =============================================
balance-scale 0.963520 results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json {'base_estimator__C': 57, 'base_estimator__gamma': 0.1, 'base_estimator__kernel': 'rbf', 'base_estimator__multiclass_strategy': 'ovr', 'n_estimators': 100, 'n_jobs': -1}
balloons 0.785000 results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json {'base_estimator__C': 5, 'base_estimator__gamma': 0.14, 'base_estimator__kernel': 'rbf', 'base_estimator__multiclass_strategy': 'ovr', 'n_estimators': 100, 'n_jobs': -1}
******************************************************************************************************************************************************************
* Scores compared to stree_default accuracy (liblinear-ovr) .: 0.0434 *
******************************************************************************************************************************************************************