Demand forecast tutorial, model including weather predictors

model-orders-weather.json

{
  "type": "timeseries",
  "name": "orders-weather",
  "default_datasource": "influx",
  "max_evals": 50,
  "bucket_interval": "1h",
  "span": "auto",
  "offset": 30,
  "interval": "24h",

  "seasonality": {
  	"daytime": true,
  	"weekday": true
  },
  "features": [
	{
  	"measurement": "weather",
  	"field": "temp",
  	"metric": "avg",
  	"name": "temp",
  	"default": "previous",
  	"io": "i"
	},
	{
  	"measurement": "weather",
  	"field": "clouds",
  	"metric": "avg",
  	"name": "clouds",
  	"default": "previous",
  	"io": "i"
	},
	{
  	"measurement": "orders",
  	"field": "count",
  	"metric": "sum",
  	"name": "orders",
  	"io": "io"
	}
  ]
}