Forecast APIedit
After training is completed, you can request the forecast of future feature values using the forecast API.
POST /models/pricing_model/_forecast?from=now&to=now+1h&bg=true
Accepted parameters for the _forecast API are:
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generate the requested data from this date |
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generate the requested data until this date |
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On success it will return a job identifier if bg=true, or data points if bg=false or option is missing.
* HTTP 1.0, assume close after body < HTTP/1.0 200 OK < Content-Type: application/json < Content-Length: 39 < Server: Werkzeug/0.12.2 Python/3.4.5 < Date: Fri, 14 Mar 2018 10:00:00 GMT < "b67c10d6-3886-4285-a19c-2b908323238a"
You can then query the job result using the Job API:
GET /jobs/b67c10d6-3886-4285-a19c-2b908323238a
The result of the above get operation will contain the forecast result, according to feature names and properties defined in your model.
{
"id": "b67c10d6-3886-4285-a19c-2b908323238a",
"state": "done",
"type": "forecast",
"result": {
"predicted": {
"pricing_feature": [
1.0200526714324951,
1.0138707160949707,
1.0268415212631226,
1.0200526714324951,
1.0138707160949707,
1.0268415212631226
]
},
"timestamps": [
1521018000.0,
1521018600.0,
1521019200.0,
1521019800.0,
1521020400.0,
1521021000.0
]
}
}