Price Predictor System - Setup Guide

Prerequisites

Make sure you have the following installed before proceeding:

• Python (>=3.8)
• Pip (latest version)
• Virtual Environment (venv)
• ZenML
• MLflow

Step 1: Create a New Folder

Create a new folder to contain the project and navigate into it:

mkdir price_predictor_system
cd price_predictor_system

Step 2: Set Up a Virtual Environment

On Mac:

python3 -m venv vnv

On Windows:

python -m venv vnv

Step 3: Activate the Virtual Environment

On Mac:

source vnv/bin/activate

On Windows:

vnv\Scripts\activate

Once activated, you should see (vnv) at the beginning of your terminal prompt.

Step 4: Install Required Packages

Make sure you have a requirements.txt file with the necessary dependencies. Install them using:

pip install -r requirements.txt

Example requirements.txt File:

zenml
mlflow
pandas
numpy
scikit-learn
matplotlib

Step 5: Install ZenML Integrations

ZenML requires specific integrations for MLflow. Install them using:

zenml integration install mlflow -y

Step 6: Configure ZenML Stack

ZenML requires a stack configuration for MLflow experiment tracking and model deployment. Run the following commands:

zenml experiment-tracker register mlflow_tracker --flavor=mlflow
zenml model-deployer register mlflow --flavor=mlflow
zenml stack register local-mlflow-stack -a default -o default -d mlflow -e mlflow_tracker --set

Step 7: Running the Project

To run the project, execute the following command:

python run_deployment.py

Make sure the virtual environment is activated before running any command.

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Notes:

• Always activate the virtual environment before running the project.
• Ensure that all dependencies are installed correctly.
• If you encounter any errors, check the installed packages using:

  pip list