Forecasting is a common data science problem that aids companies with effective and efficient planning, goal setting and to forecast future business outcomes like demand etc. OCI TSF service uses data science and machine learning to deliver high quality and reliable forecasts. It is fully managed, serverless and multi-tenant service, accessible over REST APIs. Forecasting methods can be simple statistical models or highly complex, such as machine learning models using neural networks etc.
Users can then send new data to the endpoints to get the forecast results of desired horizon. In this workshop, we want to help users achieve the following objective:
The users will be able submit historical data as inline data via end-points and get forecast
In addition to providing forecasts, this service also focuses on explaining predictions from the model by leveraging state-of-the-art Model Explainability techniques.