v0.3 Silver to gold done

Shakleen · Oct 5, 2024 · 3d83f87 · 3d83f87
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diff --git a/Diagrams/Medallion_Architecture.jpeg b/Diagrams/Medallion_Architecture.jpeg
diff --git a/README.md b/README.md
@@ -50,7 +50,7 @@ Gold data is used to train machine learning models for predictive task.
 
 ## Technologies Used
 1. **PySpark** and **DeltaLake** to manage data ingestion and transformation
-1. **MLFlow** for model development
+1. **MLLib** and **MLFlow** for model development, tracking, and evluation
 1. **Flask** to create front end
 1. **GitHub Actions** for CI/CD
 1. **PyTest** for writing tests

diff --git a/requirements.txt b/requirements.txt
@@ -5,7 +5,7 @@ blinker==1.8.2
 cachetools==5.5.0
 certifi==2024.8.30
 charset-normalizer==3.3.2
-CitiBike-Demand-Prediction==0.2.0
+CitiBike-Demand-Prediction==0.3.0
 click==8.1.7
 cloudpickle==3.0.0
 comm==0.2.2

diff --git a/setup.py b/setup.py
@@ -25,7 +25,7 @@ def get_requirements(file_name: str) -> List[str]:
 
 setup(
     name="CitiBike Demand Prediction",
-    version="0.2.0",
+    version="0.3.0",
     description="An End-to-End Machine Learning project where I predict demand of bikes at citibike stations at hourly level.",
     author="Shakleen Ishfar",
     author_email="shakleenishfar@gmail.com",