Regression Models Fine-Tuning
In this example, we use our sample PostgreSQL database. You can connect to it like this:
First, we create and train the model using a subset of the home_rentals
data, considering properties that have been on the market less than 10 days.
On execution, we get:
We can check its status using this command:
Once the status is complete, we can query for predictions.
On execution, we get:
Let’s adjust this model with more training data. Now we consider properties that have been on the market for 10 or more days.
On execution, we get:
To check the status and versions of the model, run this command:
On execution, we get:
Please note that the longer the property is on the market, the lower its rental price. Hence, we can expect the rental_price
prediction to be lower.
On execution, we get: