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Prophet & PyMC Model Setup
Linked challenge: Distressed CRE Capital Stack Recovery Forecasting Agent
Prompt source
implementation8 lines1 sectionsNo variables0 checklist items
import prophet
import pymc as pm
# Build combined time-series forecasting and Bayesian recovery modeling script
def forecast_property_noi(historical_df):
model = prophet.Prophet(seasonality_mode='multiplicative')
model.fit(historical_df)
# Run Monte Carlo cash flow simulation
pass