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HPF IDM Demand Interval Prediction Data Export

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HPF IDM Demand Interval Prediction Data Export

I am working on a forecast value add project where I plan to compare SAS forecasts for multiple SKUs to our current forecasting system. To do this, I will need to export forecasts for each SKU into a data set that I can compare against our current forecasts.  This works fine for SKUs with continuous demand, but in order to compare the forecasts for intermittent demand I will need forecasts for both the Average Demand Size and the Demand Interval for these SKUs.  I can export these by SKU, however I'd like to design a data set of forecasts for multiple SKUs.  How do I produce the Demand Interval forecasts using the data sets exported from HPF?  I can see parameters in OUTEST, but I do not know how to fit those together to get a number.

 

I have been using the following code and I am attaching an image to display the ODS output I receive that shows me the interval estimate.

 

The TL/DR version is: How does ODS calculate the Demand Interval Prediction?

 

 * assign project settings ;
         %let HPF_SETMISSING=0;
         %let HPF_ZEROMISS=NONE;
         %let ODSSTYLE=STATISTICAL;
         %let HPF_TRIMMISS=BOTH;
         %let HPF_BACK=0;
         %let HPF_START='07Apr2014'd;
         %let HPF_START_ENABLED=0;
         %let HPF_END='14Mar2016'd;
         %let HPF_END_ENABLED=0;
         %let HPF_HORIZON_START='21Mar2016'd;
         %let HPF_HORIZON_START_ENABLED=0;
         %let HPF_SELECT_MINOBS_TREND=2;
         %let HPF_SELECT_MINOBS_SEASONAL=2;
         %let HPF_SELECT_MINOBS_NON_MEAN=2;
         %let HPF_LEAD=4;
         %let HPF_DIAGNOSE_INTERMITTENT=2.0;
        %let HPF_SELECT_HOLDOUT=4;
         %let HPF_SELECT_HOLDOUTPCT=50;
         %let HPF_SELECT_ENDZEROS_MAXNUM=5;
         %let HPF_SELECT_ENDZEROS_MAXPCT=50;
         %let HPF_SELECT_ENDZEROS_MINOBS=1;
         %let HPF_SELECT_CRITERION=MAE;
         %let HPF_COMPONENTS=INTEGRATE;
         %let HPF_FORECAST_ALPHA=0.05;
         %let HPF_RECONCILE_WEIGHTED=;
         %let HPF_RECONCILE_IGNOREMISSF=;
         %let HPF_RECONCILE_LOCKZERO=;
         %let HPF_RESTRICT_OVRD_RECON_DIR=0;
         %let HPF_FORCE_OVRD_CONFLICT_CHECK=1;
         %let HPF_DO_NOT_ALLOW_NEG_FORECAST=;
         %let HPF_CREATE_INDEX_FILES=;
         %let HPF_CREATE_OUTCOMPONENT_DATA_SET=;
         %let HPF_DIAGNOSE_ARIMAX=;
         %let HPF_DIAGNOSE_ESM=;
         %let HPF_RETAINCHOOSE=RETAINCHOOSE;
         %let HPF_SELECTION_LIST=FSDEMO.CUST_REPO.TOP_2;
         %let HPF_OUTLIER_FILTER=SUBSET;
         %let HPF_COMBINE=;
         %let HPF_COMBINE_CRITERION=RMSE;
         %let HPF_COMBINE_MISSMODE=MISSING;
         %let HPF_COMBINE_METHOD=AVERAGE;
         %let HPF_COMBINE_STDERR=DIAG;
         %let HPF_ARIMA_IDENTIFY=BOTH;
         %let HPF_USE_DIAGNOSE=;
         %let HPF_TRANSTYPE=NONE;
         %let HPF_TRANSOPT=MEDIAN;
 proc hpfengine data=_leaf.DATA (where= (corp_item_num=4756656.0 or corp_item_num= 2397586.0))
        inest=_leaf.outest
		seasonality=52
        errorcontrol=(severity=ALL, stage=(PROCEDURELEVEL DATAPREP SELECTION ESTIMATION FORECASTING))
        EXCEPTIONS=CATCH modelrepository=work.TemLevModRep_leaf      
		print=(FORECASTS select estimates)
        task = select( alpha=&HPF_FORECAST_ALPHA criterion=&HPF_SELECT_CRITERION endzeros=(maxnum=&HPF_SELECT_ENDZEROS_MAXNUM) endzeros=(maxpct=&HPF_SELECT_ENDZEROS_MAXPCT) endzeros=(minobs=&HPF_SELECT_ENDZEROS_MINOBS) holdout=&HPF_SELECT_HOLDOUT holdoutpct=&HPF_SELECT_HOLDOUTPCT minobs=&HPF_SELECT_MINOBS_NON_MEAN  minobs=(season=&HPF_SELECT_MINOBS_SEASONAL) minobs=(trend=&HPF_SELECT_MINOBS_TREND)
	
        seasontest=none intermittent=&HPF_DIAGNOSE_INTERMITTENT override)
        back=&HPF_BACK components=&HPF_COMPONENTS lead=&HPF_LEAD
       out=work.out outfor=work.outfor outstat=work.outstat
	   outest=work.outest
        outstatselect=work.outstatselect
        outmodelinfo=work.outmodelinfo
       scorerepository=work.scorerepository outsum=work.outsum
        outcomponent=work.outcomponent
       inevent=_project.EventRepository;
        by client corp_item_num ;
		score;
       id week_of interval=WEEK.2 format=YYMMDD10. acc=total notsorted horizonstart=&HPF_HORIZON_START start=&HPF_START;
       forecast rawdmd /
         setmissing=&HPF_SETMISSING trimmiss=&HPF_TRIMMISS zeromiss=&HPF_ZEROMISS
       ;
	   
       run;

I'm using SAS 9.3 and EG 5.1.  This is all using Forecast Server 12.1.

 


2016-04-20 10_49_45-SAS Enterprise Guide - Project3.png

Accepted Solutions
Solution
‎04-25-2016 03:43 PM
SAS Super FREQ
Posts: 79

Re: HPF IDM Demand Interval Prediction Data Export

The interval and size forecasts are stored in the ODS table called Demands. You can "capture" the ODS table using ODS OUTPUT Demands = idm_demand_predictions; and change the PROC HPFENGINE option PRINT= option to PRINT = ALL. If you don't want all the ODS ouptuts printed in the listing/html output, you can use the following trick before and after the proc call to capture just the Demand ODS table:

 

ods exclude all;
ods output demands = idm_demand_predictions;

 

proc hpfengine ...... print = all;
 ......
run;
ods exclude none;

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Solution
‎04-25-2016 03:43 PM
SAS Super FREQ
Posts: 79

Re: HPF IDM Demand Interval Prediction Data Export

The interval and size forecasts are stored in the ODS table called Demands. You can "capture" the ODS table using ODS OUTPUT Demands = idm_demand_predictions; and change the PROC HPFENGINE option PRINT= option to PRINT = ALL. If you don't want all the ODS ouptuts printed in the listing/html output, you can use the following trick before and after the proc call to capture just the Demand ODS table:

 

ods exclude all;
ods output demands = idm_demand_predictions;

 

proc hpfengine ...... print = all;
 ......
run;
ods exclude none;

Occasional Contributor
Posts: 5

Re: HPF IDM Demand Interval Prediction Data Export

Thank you so much! This gives me just what I was looking for.
☑ This topic is SOLVED.

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