Description
Geographic information plays a major role in pricing for industries like real estate. The characteristics of a home’s neighborhood — its (dis)amenities, aesthetics, and walkability — all impact its…
Summary
- Introducing the Iggy Python API Geographic information plays a major role in pricing for industries like real estate.
- Of course there is also sales information, including sale_date and log_price.
- Now, let’s say the existing pricing model predicts the sales price (log_price) for each home, using the rest of the features as input.
- In the feature definition above, we’re specifying that the feature is derived from Iggy’s /points_of_interest endpoint (IggyPOIFeature), that it's looking specifically for grocery_stores, and that it will return the minimum (calc_method='min') distance to any grocery store within 30 miles of the input point.