def entire_detect(body, custom_headers:nil)
      response = entire_detect_async(body, custom_headers:custom_headers).value!
      response.body unless response.nil?
    end
def entire_detect(body, custom_headers:nil)
      response = entire_detect_async(body, custom_headers:custom_headers).value!
      response.body unless response.nil?
    end
Detect anomalies for the entire series in batch.

 This operation generates a model using an entire series, each point is
 detected with the same model. With this method, points before and after a
 certain point are used to determine whether it is an anomaly. The entire
 detection can give user an overall status of the time series.

 @param body [Request] Time series points and period if needed. Advanced model
 parameters can also be set in the request.
 @param custom_headers [Hash{String => String}] A hash of custom headers that
 will be added to the HTTP request.

 @return [EntireDetectResponse] operation results.