proc cas; decisionTree.forestTrain / table={name="cars", caslib="casuser"} target="Origin" inputs={"MSRP", "Horsepower", "EngineSize", "Cylinders", "MPG_City", "Weight"} nominals={"Origin", "Cylinders"} nTree=100 maxLevel=10 leafSize=5 bootstrap=...
proc cas; freqTab.freqTab / table={name="cars", caslib="casuser"} tabulate={vars={"Origin"}}; run;
proc cas; freqTab.freqTab / table={name="cars", caslib="casuser"} tabulate={cross={"Origin"}, vars={"Type"}} includeMissing=TRUE order="FREQ" outputTables={names={"MyCrossTab"}}; run;
proc cas; frontier.frontierCost table={name="cost_sim", caslib="casuser"} model={depVar={{name="log_cost"}}, effects={{vars={"log_q", "log_p"}}}}; run;
proc cas; frontier.frontierCost table={name="cost_sim", caslib="casuser"} model={depVar={{name="log_cost", options={type="HALF"}}}, effects={{vars={"log_q", "log_p"}}}} optimizer={algorithm="QUASINEWTON", maxit=100} output={casOut={name="cost_efficiency", replace=true}, te1="tech_eff"}; run;
proc cas; session casauto; dataSciencePilot.generateShadowFeatures / table={name='input_data', caslib='mycas'}, casOut={name='shadow_features_output', replace=TRUE}; run; quit;
proc cas; session casauto; dataSciencePilot.generateShadowFeatures / table={name='input_data', caslib='mycas', vars={{name='var1'},{name='var3'}}}, inputs={{name='var1'},{name='var3'}}, nProbes=10, probeMissing=FALSE, seed=12345, casOut={name='custom_shadow_features', ...
proc cas; sessionProp.getSessOpt / name="CASLIB"; run; quit;
proc cas; hyperGroup.hypergroup table={name="myGraph", caslib="casuser"} layout="FRUCHGOLD"; run; quit;
proc cas; hyperGroup.hypergroup table={name="myGraph", caslib="casuser"} layout="WALSHAW" centrality=TRUE community=TRUE vertices={name="myVerticesOut", caslib="casuser", replace=TRUE} edges={name="myEdgesOut", caslib="casuser", replace=TRUE} ; run; quit;