Design an Agentic workflow to train and predict a model for h1n1 vaccine usage.

Data: https://github.com/emykes/Flu_Vaccination_ML/tree/main?tab=readme-ov-file

virtualenv venv source venv/bin/activate pip install -r requirements.txt

OPENAI_API_KEY=sk-.... python langgraph_agent.py

Example 1: Relearn from the data

Example 2: Will this is user adopt h1n1: "h1n1_concern": 1, "h1n1_knowledge": 1, "behavioral_face_mask": 0, "behavioral_large_gatherings": 0, "behavioral_wash_hands": 0, "behavioral_outside_home": 0, "behavioral_touch_face": 0, "child_under_6_months": 0, "health_worker": 0, "opinion_h1n1_vacc_effective": 0, "opinion_h1n1_risk": 0, "opinion_h1n1_sick_from_vacc": 0, "age_group": "18 - 34 Years", "education": "12 Years", "race": "White", "sex": "Male", "income_poverty": "Below Poverty", "marital_status": "Not Married", "rent_or_own": "Rent", "employment_status": "Employed", "census_msa": "Non-MSA", "hhs_geo_region": "xqwwgdyp", "behavioral_social_distance": 0, "employment_industry":"atmlpfrs", "employment_occupation":"hfxkjkmi"