Update Package Name

README.md

@@ -1,4 +1,4 @@
-# Machine Learning Classification Python Package
+# classifierAgent: Machine Learning Classification Python Package
 
 ![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)
 ![Scikit-Learn](https://img.shields.io/badge/scikit_learn-F7931E?style=for-the-badge&logo=scikit-learn&logoColor=white)
@@ -47,15 +47,15 @@ The package takes the following parameters as input:
 Make sure you have Python installed on your system. You can install the package using pip:
 
 ```sh
-pip install classifier_agent
+pip install classifierAgent
 ```
 
 # Usage
 
 Here's an example of how to use the package:
 
 ```python
-from classifier_agent import classifier_agent
+from classifierAgent import classifierAgent
 
 dataset_path = "diabetes.csv"
 output_column = "Outcome"
@@ -66,7 +66,7 @@ save_models = True  # Whether to save models
 show_confusion_matrix = True  # Whether to plot the confusion matrix
 show_classification_report = True  # Whether to print the classification report
 
-results = classifier_agent(dataset_path, output_column, train_test_ratio, scaling_method, perform_grid_search, save_models, show_confusion_matrix, show_classification_report)
+results = classifierAgent(dataset_path, output_column, train_test_ratio, scaling_method, perform_grid_search, save_models, show_confusion_matrix, show_classification_report)
 print(results)
 ```
 

__init__.py

@@ -1 +1 @@
-from classifier_agent import classifier_agent
+from classifierAgent import classifer

classifier_agent.py → classifierAgent.py

@@ -100,7 +100,7 @@ def plot_confusion_matrix(y_true, y_pred, model_name, show_plot=True):
     if show_plot:
         plt.show()
 
-def classifier_agent(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

@@ -17,7 +17,7 @@ def parse_requirements(filename):
         return [line.strip() for line in file if line.strip() and not line.startswith("#")]
 
 setup(
-    name='classifier_agent',
+    name='classifierAgent',
     version='1.0.1',  # Updated version number
     description='A Python package for performing classification on datasets in CSV or Excel format.',
     long_description=long_description,
@@ -40,7 +40,7 @@ def parse_requirements(filename):
     install_requires=parse_requirements('requirements.txt'),
     entry_points={
         'console_scripts': [
-            'classifier_agent=classifier_agent.__main__:main', 
+            'classifierAgent=classifierAgent.__main__:main', 
         ],
     },
     project_urls={