Forecasts future points from fitted HoltWinters model.  
More...
 | 
| cumlError_t  | cumlHoltWintersSp_forecast (cumlHandle_t handle, int n, int batch_size, int frequency, int h, cumlHoltWintersSeasonal_t seasonal, float *level_ptr, float *trend_ptr, float *season_ptr, float *forecast_ptr) | 
|   | 
| cumlError_t  | cumlHoltWintersDp_forecast (cumlHandle_t handle, int n, int batch_size, int frequency, int h, cumlHoltWintersSeasonal_t seasonal, double *level_ptr, double *trend_ptr, double *season_ptr, double *forecast_ptr) | 
|   | 
Forecasts future points from fitted HoltWinters model. 
- Parameters
 - 
  
    | [in] | handle | cuml handle to use across the algorithm  | 
    | [in] | n | n_samples in time-series  | 
    | [in] | batch_size | number of time-series in X  | 
    | [in] | frequency | number of periods in a season of the time-series  | 
    | [in] | h | number of future points to predict in the time-series  | 
    | [in] | seasonal | type of seasonal component (ADDITIVE or MULTIPLICATIVE)  | 
    | [out] | level_d | device pointer to array which holds level components  | 
    | [out] | trend_d | device pointer to array which holds trend components  | 
    | [out] | season_d | device pointer to array which holds season components  | 
    | [out] | forecast_d | device pointer to array which will hold the forecast points  | 
  
   
- Returns
 - CUML_SUCCESS on success and other corresponding flags upon any failures. 
 
◆ cumlHoltWintersDp_forecast()
◆ cumlHoltWintersSp_forecast()