mindsdb/mindsdb:lightwood
Docker image. Learn more here.CREATE DATABASE
statement.
CREATE MODEL
statement, where we specify what query to train FROM
and what we want to PREDICT
.
CREATE JOB
statement to create a Job.
Now, let’s use a Job to retrain the model every two days, just like we might in production. You can retrain the model to improve predictions every time when either new data or new MindsDB version is available. And, if you want to retrain your model considering only new data, then go for finetuning it.
home_rentals
table. Learn more about the LAST
keyword here.
And there you have it! You created an end-to-end automated production ML system in a few short minutes.