updated manifest and setup file

Author: adamspd

MANIFEST.in

@@ -2,13 +2,13 @@
 
 include LICENSE
 include data/*
-recursive-include models/ *.pkl
+recursive-include models/ *
 exclude *.log
-recursive-include classifier/ *.py
-recursive-include loading_and_processing/ *.py
-recursive-include prediction/ *.py
-recursive-include training/ *.py
-recursive-include test_and_tuning/ *.py
+recursive-include classifiers/ *
+recursive-include loading_and_processing/ *
+recursive-include prediction/ *
+recursive-include training/ *
+recursive-include test_and_tuning/ *
 include *.md
 include setup.py
 include logger_config.py

setup.cfg

@@ -2,11 +2,11 @@
 name = spam-detection
 version = 1.0.0
 description = A package for spam detection using machine learning algorithms.
+long_description = file: README.md
+long_description_content_type = text/markdown
 url = https://github.com/adamspd/spam-detection-project
 author = Adams Pierre David
 author_email = [email protected]
-author_website = https://adamspierredavid.com/
-readme = README.md
 license = Apache License 2.0
 classifiers =
     Environment :: Console
@@ -15,7 +15,6 @@ classifiers =
     Operating System :: OS Independent
     Programming Language :: Python
     Programming Language :: Python :: 3
-    Programming Language :: Python :: 3 :: Only
     Programming Language :: Python :: 3.8
     Programming Language :: Python :: 3.9
     Programming Language :: Python :: 3.10
@@ -24,7 +23,18 @@ classifiers =
 
 [options]
 include_package_data = true
-packages = find:
+packages =
+    spam_detection
+    spam_detection.models
+    spam_detection.models.svm
+    spam_detection.models.naive_bayes
+    spam_detection.models.random_forest
+    spam_detection.training
+    spam_detection.classifiers
+    spam_detection.loading_and_processing
+    spam_detection.prediction
+    spam_detection.test_and_tuning
+
 python_requires = >=3.8
 install_requires =
     scikit-learn
@@ -33,4 +43,4 @@ install_requires =
 
 [options.package_data]
 * = data/*
-models = models/*/*
+spam_detection = models/*/*