Single time series forecasting

Now that we have a base understanding of the logistical operation of the forecasting process, let's walk through an example of how to use Elastic ML for forecasting. We will start with a dataset that is a single time series.

Dataset preparation

The dataset we will use in our example is available in the GitHub repository at https://github.com/PacktPublishing/Machine-Learning-with-the-Elastic-Stack/tree/master/example_data. This dataset, once downloaded, can be easily imported into your Kibana via ML's Data Visualizer (only in versions 6.5+). To upload the data, go to ML's Data Visualizer tab and select the Upload file button:

Choose the forecast_example.json file from your local...