Statsmodel Forecast with Wallaroo Features

A life cycle with a Statsmodel forecast model from model creation to automation.

This tutorial series demonstrates how to use Wallaroo to create a Statsmodel forecasting model based on bike rentals. This tutorial series is broken down into the following:

  • Create and Train the Model: This first notebook shows how the model is trained from existing data.
  • Deploy and Sample Inference: With the model developed, we will deploy it into Wallaroo and perform a sample inference.
  • Sample Inferences from DataBase Records: Simulate pulling inference input data from a database, performing inferences, and uploading the results to the database.

Statsmodel Forecast with Wallaroo Features: Deploy and Test Infer

Deploy the sample Statsmodel and perform sample inferences.

Statsmodel Forecast with Wallaroo Features: Model Creation

Training the Statsmodel to predict bike rentals.

Statsmodel Forecast with Wallaroo Features: Parallel Infer and Database Simulation

Performing database driven inferences against the Statsmodel bike rentals model.