savestate issue with decisiontree train action cas

[acordes]

I'm running Viya 3.5

My code gnerates a  model and I can derive a score using proc astore immediately after the training has finished. 

But when I close the session and come back I cannot recover the model. 

/* filename score temp; */
cas mySession sessopts=(caslib="risk");  
proc cas;
   trnTable = {name="FOPERENT_DEC22_ETL_F",
               where="_partind_=1 and strip(orig)='data'  
                      and (^missing(FEC_CANCELACIONXFINIQUITO) or 1=1)
                      and missing_called ne . and flag_poor_data",
    computedvars={{name="_year"}, {name="_tma"}, {name="contract_yearly_kms"}, {name="opc"}, {name="maturity"} } 
    computedvarsprogram="_year=put(year(F_INICIO_SERVICIOS), 4.); _tma=substr(tmaimg,1,3); maturity=out_months_passed/out_APZMTO;
                          contract_yearly_kms=out_KM_CONTRATADO/out_APZMTO*12; opc=imp_to-val_ba;"};
           
   vldTable = {name="FOPERENT_DEC22_ETL_F", 
               where="_partind_=0 and strip(orig)='data'  
                      and ^missing(FEC_CANCELACIONXFINIQUITO) 
                      and missing_called ne . and flag_poor_data",
    computedvars={{name="_year"}, {name="_tma"}, {name="contract_yearly_kms"}, {name="opc"}, {name="maturity"}} 
    computedvarsprogram="_year=put(year(F_INICIO_SERVICIOS), 4.); _tma=substr(tmaimg,1,3); maturity=out_months_passed/out_APZMTO;
                          contract_yearly_kms=out_KM_CONTRATADO/out_APZMTO*12; opc=imp_to-val_ba;" }; 

 decisionTree.gbtreeTrain result=r /      
  table=trnTable 
 
   inputs={"from_brand", "from_gama_agg", "_year", "combustible", "contract_yearly_kms", "_tma", 'No_NM_TTAL_OP', 
            'SubAdministrativeArea', 'color', 'opc', 'maturity' }
   target="out_yearly_kms"
   saveState  = {name='gb_yearly_kms_v3', caslib='onair', promote=true}
   maxlevel =16
   maxbranch=2
  LEAFSIZE=5
   nbins    =20
   binorder =1
 missing= "USEINSEARCH" 
   varImp   =true
   code={labelid=999, comment=true, tabForm=true}
 casOut={
   name='hmeq_dtree_trn_v3',
     replace=true                                            
    };
run;
   print r['ModelInfo'];
   print r['DTreeVarImpInfo'];
run; 
/*    saveresult r['CodeGen'] file=score;  */
run;

The scoring works like this:

proc astore;
describe rstore=onair.GB_YEARLY_KMS_V3;
quit;

data RISK.FOPERENT_DEC22_ETL_F1;
set RISK.FOPERENT_DEC22_ETL_F;
_year=put(year(F_INICIO_SERVICIOS), 4.); _tma=substr(tmaimg,1,3); maturity=out_months_passed/out_APZMTO;
                          contract_yearly_kms=out_KM_CONTRATADO/out_APZMTO*12; opc=imp_to-val_ba;
run;

proc astore;
score data=RISK.FOPERENT_DEC22_ETL_F1
rstore=ONAIR.GB_YEARLY_KMS_V3
/* epcode="/caslibs/marketing/dmcas_epscorecode.sas" */
out=RISK.FOPERENT_DEC22_ETL_FF12 
copyvars=(orig out_yearly_kms FEC_CANCELACIONXFINIQUITO flag_poor_data  missing_called _PartInd_ cod_ope ) ;
run;

Then I save successfully to disk using these lines and for the next session I load into memory. 

proc cas ;
  table.save /
    table={name="GB_YEARLY_KMS_V3", caslib="onair"} compress=true replace=true
    name="GB_YEARLY_KMS_V3.sashdat" caslib="onair"
    exportOptions={                                               
        fileType="auto"
    };
run;

Now the proc astore throws out the following error:

ERROR: Store GB_YEARLY_KMS_V3 has no observations.
ERROR: Action score failed.
ERROR: The action stopped due to errors.

[RalphAbbey]

How are you reloading the model when you come back and try to score?

As you have saved the savestate table as a sashdat, you will need to load it back into the new session appropriately. Based upon your example here is something that might be close?

proc cas;
   table.loadTable /
   path = "GB_YEARLY_KMS_V3.sashdat"
   caslib = "onair"
   casout = {name="GB_YEARLY_KMS_V3", caslib="onair", replace=true}
;
run;

Then afterwards the astore call should run as it did in the previous session.

[sbxkoenk · Accepted solution]

Hello,

Can you try :

saveState = {name='gb_yearly_kms_v3', caslib='PUBLIC', promote=true}

?? ( if PUBLIC CASLIB is not disabled at your site )
Table (which is an analytic store for the model as a binary object) should stay there across sessions!

Otherwise you can try : 

• Downloading the Store to the Local File System (PROC ASTORE download stmt)
• Uploading the Local Store from the Local File System (PROC ASTORE upload stmt)

BR,

Koen

[acordes]

Thank you @sbxkoenk and @RalphAbbey .

It works over sessions with the following code approach.

...
   target="out_yearly_kms"
   saveState  = {name='temp_gb_yearly_kms', caslib='public', promote=true}
...

proc astore;
describe rstore=public.temp_GB_YEARLY_KMS;
download rstore=public.temp_GB_YEARLY_KMS store="/caslibs/busdev/yearly";
quit;

proc astore;
upload rstore=public.temp_GB_YEARLY_KMS
store="/caslibs/busdev/yearly";
quit;

proc astore;
describe rstore=public.temp_GB_YEARLY_KMS epcode="/caslibs/busdev/yearly_epcode.sas";
quit;

proc astore;
score data=RISK.FOPERENT_DEC22_ETL_F1
rstore=public.temp_GB_YEARLY_KMS
out=RISK.FOPERENT_DEC22_ETL_FF12 
copyvars=( out_yearly_kms _PartInd_ from_gama_agg ) ;
run;

In addition, I've implemented an override decision placed in the epcode, that's nice. 

proc astore;
score data=RISK.FOPERENT_DEC22_ETL_F1
rstore=public.temp_GB_YEARLY_KMS
epcode="/caslibs/busdev/yearly_epcode_v2.sas"
out=RISK.FOPERENT_DEC22_ETL_FF12 ;
run;

Here for example, the business policy could mandate that special car models receive a customized scoring. It's the line after  method postScoreRecord();

data sasep.out;
  dcl package score sc();
  dcl nchar(200) "from_brand";
  dcl nchar(200) "from_gama_agg";
  dcl nchar(4) "_year";
  dcl nchar(1) "Combustible";
  dcl double "contract_yearly_kms";
  dcl double "No_NM_TTAL_OP";
  dcl nchar(84) "SubAdministrativeArea" having format $CHAR42.;
  dcl double "opc";
  dcl double "maturity";
  dcl double "out_yearly_kms";
  dcl double "P_out_yearly_kms" having label n'Predicted: out_yearly_kms';
  dcl nchar(4) "_WARN_" having label n'Warnings';
  Keep 
    "P_out_yearly_kms" "from_gama_agg"
    "_WARN_" 
    ;
  varlist allvars[_all_];
  method init();
    sc.setvars(allvars);
    sc.setKey(n'xxxxxxxxxxxxxxxxxxxxxxxx');
  end;
  method preScoreRecord();
  end;
  method postScoreRecord();
	if strip(from_gama_agg)='Q5' then P_out_yearly_kms = 77777;
  end;
  method term();
  end;
  method run();
    set sasep.in;
    preScoreRecord();
    sc.scoreRecord();
    postScoreRecord();
  end;
enddata;