dependency resolving for AML setup.py file

Auto Brew ML Framework/Auto Brew ML PyPi Package/AutoBrewML.egg-info/PKG-INFO

@@ -1,13 +1,10 @@
 Metadata-Version: 2.1
 Name: AutoBrewML
-Version: 0.42
+Version: 0.45
 Summary: With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
-Home-page: UNKNOWN
 Author: Sreeja Deb
 Author-email: srde@microsoft.com
-License: UNKNOWN
 Project-URL: AutoBrewML GitHub, https://github.com/microsoft/AutoBrewML
-Platform: UNKNOWN
 Classifier: Programming Language :: Python :: 3
 Classifier: License :: OSI Approved :: MIT License
 Classifier: Operating System :: OS Independent
@@ -46,4 +43,3 @@ Modules
 
 **Prerequisites:**
 - Python version >=3.8.0
-

Auto Brew ML Framework/Auto Brew ML PyPi Package/AutoBrewML.egg-info/requires.txt

@@ -1,10 +1,13 @@
 numpy
+llvmlite
+numba
+scipy
 pandas
 sklearn
 pandas_profiling
-MarkupSafe==2.0.1
+MarkupSafe
 imblearn
-scikit-learn==0.23.1
+scikit-learn
 fairlearn
 tpot
 pyod

Auto Brew ML Framework/Auto Brew ML PyPi Package/Setup.py

@@ -15,14 +15,15 @@ def readme():
 
 setuptools.setup(
  name='AutoBrewML', 
- version='0.42',
+ version='0.45',
  author="Sreeja Deb",
  author_email="srde@microsoft.com",
  long_description=readme(),
  description="With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.",
  packages=setuptools.find_packages(),
  project_urls = project_urls,
- install_requires=['numpy', 'pandas', 'sklearn','pandas_profiling','MarkupSafe==2.0.1','imblearn','scikit-learn==0.23.1','fairlearn','tpot','pyod'],
+ #install_requires=['numpy==1.24.3', 'llvmlite==0.40.1', "numba==0.57.1" ,"scipy==1.11.1" , 'pandas', 'sklearn','pandas_profiling','MarkupSafe==2.0.1','imblearn','scikit-learn==0.23.1','fairlearn','tpot','pyod'],
+ install_requires=['numpy', 'llvmlite', "numba" ,"scipy" , 'pandas', 'sklearn','pandas_profiling','MarkupSafe','imblearn','scikit-learn','fairlearn','tpot','pyod'],
  classifiers=[
  "Programming Language :: Python :: 3",
  "License :: OSI Approved :: MIT License",