add forecast API to X-Pack, ML client (elastic#772)

Author: Hendrik Muhs

elasticsearch/client/xpack/ml.py

@@ -307,6 +307,21 @@ def delete_job(self, job_id, params=None):
  return self.transport.perform_request('DELETE', _make_path('_xpack',
  'ml', 'anomaly_detectors', job_id), params=params)
 
+ @query_params('duration', 'expires_in')
+ def forecast_job(self, job_id, params=None):
+ """
+
+ `<http://www.elastic.co/guide/en/elasticsearch/reference/current/ml-forecast.html>`_
+
+ :arg job_id: The name of the job to close
+ :arg duration: A period of time that indicates how far into the future to forecast
+ :arg expires_in: The period of time that forecast results are retained.
+ """
+ if job_id in SKIP_IN_PATH:
+ raise ValueError("Empty value passed for a required argument 'job_id'.")
+ return self.transport.perform_request('POST', _make_path('_xpack', 'ml',
+ 'anomaly_detectors', job_id, '_forecast'), params=params)
+
  @query_params()
  def update_model_snapshot(self, job_id, snapshot_id, body, params=None):
  """