How does Amazon Forecast work?
To build forecasting models, Amazon Forecast deals with the following concepts and resources:
- Datasets: A dataset is a container to host your data. Amazon Forecast algorithms use these datasets to train its models. Each dataset is defined by a schema whereby you can define the columns and their types. Amazon Forecast includes several domains with predefined schemas to help you get started.
- Dataset groups: Amazon Forecast algorithms can leverage several datasets to train a model. A dataset group is a container that packages a group of datasets used together to train a forecasting model.
- Featurization: The featurization configuration lets you specify parameters to transform the data. This is where you specify a null-value filling strategy to apply to the different variables of your dataset.
- Algorithms: Amazon Forecast has access to multiple algorithms including statistical algorithms (ARIMA, ETS, Prophet, and NPTS) and DL algorithms...