Update entry point

classifierAgent/__init__.py

@@ -1 +1 @@
-from .classifierAgent import classifier
+from .classifierAgent import classifierAgent

classifierAgent/classifierAgent.py

@@ -1,5 +1,5 @@
 __author__ = "Adnan Karol"
-__version__ = "1.0.7"
+__version__ = "1.1.1"
 __maintainer__ = "Adnan Karol"
 __email__ = "adnanmushtaq5@gmail.com"
 __status__ = "PROD"
@@ -100,7 +100,7 @@ def plot_confusion_matrix(y_true, y_pred, model_name, show_plot=True):
     if show_plot:
         plt.show()
 
-def classifier(dataset, output_column, train_test_ratio, scaling_method=None, perform_grid_search=False, save_models=False, show_confusion_matrix=False, show_classification_report=False):
+def classifierAgent(dataset, output_column, train_test_ratio, scaling_method=None, perform_grid_search=False, save_models=False, show_confusion_matrix=False, show_classification_report=False):
     """
     Trains multiple classifiers on the provided dataset and returns their performance metrics.
     

setup.py

@@ -1,5 +1,5 @@
 __author__ = "Adnan Karol"
-__version__ = "1.0.7"
+__version__ = "1.1.1"
 __maintainer__ = "Adnan Karol"
 __email__ = "adnanmushtaq5@gmail.com"
 __status__ = "PROD"
@@ -18,7 +18,7 @@ def parse_requirements(filename):
 
 setup(
     name='classifierAgent',
-    version='1.1.0',
+    version='1.1.1',
     description='A Python package for performing classification on datasets.',
     long_description=long_description,
     long_description_content_type="text/markdown",
@@ -37,5 +37,10 @@ def parse_requirements(filename):
     ],
     python_requires='>=3.10',
     packages=find_packages(),
-    install_requires=parse_requirements('requirements.txt')
+    install_requires=parse_requirements('requirements.txt'),
+    entry_points={
+        'console_scripts': [
+            'classifierAgent=classifierAgent:classifierAgent', 
+        ],
+    },
 )