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Add updated model content for H2O model example part 2.
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‎examples/data/hmeqModels/H2OBinaryGLM/dmcas_epscorecode.sas

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data sasep.out;
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dcl package pymas pm;
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dcl package logger logr('App.tk.MAS');
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dcl varchar(32767) character set utf8 pypgm;
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dcl double resultCode revision;
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dcl varchar(100) EM_CLASSIFICATION;
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dcl double EM_EVENTPROBABILITY;
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method score(double LOAN, double MORTDUE, double VALUE, varchar(100) REASON, varchar(100) JOB, double YOJ, double DEROG, double DELINQ, double CLAGE, double NINQ, double CLNO, double DEBTINC, in_out double resultCode, in_out varchar(100) EM_CLASSIFICATION, in_out double EM_EVENTPROBABILITY);
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resultCode = revision = 0;
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if null(pm) then do;
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pm = _new_ pymas();
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resultCode = pm.useModule('model_exec_1a74cbe6-406d-4a65-8169-f8a68c5a6935', 1);
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if resultCode then do;
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resultCode = pm.appendSrcLine('import math');
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resultCode = pm.appendSrcLine('import pickle');
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resultCode = pm.appendSrcLine('import pandas as pd');
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resultCode = pm.appendSrcLine('import numpy as np');
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resultCode = pm.appendSrcLine('from pathlib import Path');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine('import h2o');
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resultCode = pm.appendSrcLine('import gzip');
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resultCode = pm.appendSrcLine('import shutil');
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resultCode = pm.appendSrcLine('import os');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine('h2o.init()');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine('model = h2o.load(str(Path("/models/resources/viya/b3b0fcef-81d8-4da1-a78d-8284dbb590a8/glmfit.pickle")))');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine('def score(LOAN, MORTDUE, VALUE, REASON, JOB, YOJ, DEROG, DELINQ, CLAGE, NINQ, CLNO, DEBTINC):');
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resultCode = pm.appendSrcLine(' "Output: EM_CLASSIFICATION, EM_EVENTPROBABILITY"');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' global model');
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resultCode = pm.appendSrcLine(' except NameError:');
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resultCode = pm.appendSrcLine(' model = h2o.load(str(Path("/models/resources/viya/b3b0fcef-81d8-4da1-a78d-8284dbb590a8/glmfit.pickle")))');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(LOAN):');
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resultCode = pm.appendSrcLine(' LOAN = 18724.518290980173');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' LOAN = 18724.518290980173');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(MORTDUE):');
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resultCode = pm.appendSrcLine(' MORTDUE = 73578.70182374542');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' MORTDUE = 73578.70182374542');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(VALUE):');
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resultCode = pm.appendSrcLine(' VALUE = 102073.94160831199');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' VALUE = 102073.94160831199');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' REASON = REASON.strip()');
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resultCode = pm.appendSrcLine(' except AttributeError:');
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resultCode = pm.appendSrcLine(' REASON = ""');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' JOB = JOB.strip()');
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resultCode = pm.appendSrcLine(' except AttributeError:');
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resultCode = pm.appendSrcLine(' JOB = ""');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(YOJ):');
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resultCode = pm.appendSrcLine(' YOJ = 8.878919914084074');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' YOJ = 8.878919914084074');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(DEROG):');
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resultCode = pm.appendSrcLine(' DEROG = 0.2522264631043257');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' DEROG = 0.2522264631043257');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(DELINQ):');
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resultCode = pm.appendSrcLine(' DELINQ = 0.4452373565001551');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' DELINQ = 0.4452373565001551');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(CLAGE):');
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resultCode = pm.appendSrcLine(' CLAGE = 179.86044681046295');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' CLAGE = 179.86044681046295');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(NINQ):');
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resultCode = pm.appendSrcLine(' NINQ = 1.1648318042813455');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' NINQ = 1.1648318042813455');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(CLNO):');
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resultCode = pm.appendSrcLine(' CLNO = 21.205105889178995');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' CLNO = 21.205105889178995');
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resultCode = pm.appendSrcLine(' try:');
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resultCode = pm.appendSrcLine(' if math.isnan(DEBTINC):');
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resultCode = pm.appendSrcLine(' DEBTINC = 33.64816965600249');
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resultCode = pm.appendSrcLine(' except TypeError:');
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resultCode = pm.appendSrcLine(' DEBTINC = 33.64816965600249');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine(' input_array = pd.DataFrame([[LOAN, MORTDUE, VALUE, REASON, JOB, YOJ, DEROG, DELINQ, CLAGE, NINQ, CLNO, DEBTINC]],');
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resultCode = pm.appendSrcLine(' columns=["LOAN", "MORTDUE", "VALUE", "REASON", "JOB", "YOJ", "DEROG", "DELINQ", "CLAGE", "NINQ", "CLNO", "DEBTINC"],');
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resultCode = pm.appendSrcLine(' dtype=float,');
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resultCode = pm.appendSrcLine(' index=[0])');
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resultCode = pm.appendSrcLine(' column_types = {"LOAN" : "numeric", "MORTDUE" : "numeric", "VALUE" : "numeric", "REASON" : "string", "JOB" : "string", "YOJ" : "numeric", "DEROG" : "numeric", "DELINQ" : "numeric", "CLAGE" : "numeric", "NINQ" : "numeric", "CLNO" : "numeric", "DEBTINC" : "numeric"}');
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resultCode = pm.appendSrcLine(' h2o_array = h2o.H2OFrame(input_array, column_types=column_types)');
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resultCode = pm.appendSrcLine(' prediction = model.predict(h2o_array)');
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resultCode = pm.appendSrcLine(' prediction = h2o.as_list(prediction, use_pandas=False)');
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resultCode = pm.appendSrcLine(' EM_CLASSIFICATION = prediction[1][0]');
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resultCode = pm.appendSrcLine(' EM_EVENTPROBABILITY = float(prediction[1][1])');
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resultCode = pm.appendSrcLine('');
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resultCode = pm.appendSrcLine(' return EM_CLASSIFICATION, EM_EVENTPROBABILITY');
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revision = pm.publish(pm.getSource(), 'model_exec_1a74cbe6-406d-4a65-8169-f8a68c5a6935');
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if ( revision < 1 ) then do;
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logr.log( 'e', 'py.publish() failed.');
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resultCode = -1;
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return;
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end;
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end;
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end;
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resultCode = pm.useMethod('score');
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if resultCode then do;
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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return;
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end;
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resultCode = pm.setDouble('LOAN', LOAN);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('MORTDUE', MORTDUE);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('VALUE', VALUE);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setString('REASON', REASON);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setString('JOB', JOB);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('YOJ', YOJ);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('DEROG', DEROG);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('DELINQ', DELINQ);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('CLAGE', CLAGE);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('NINQ', NINQ);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('CLNO', CLNO);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.setDouble('DEBTINC', DEBTINC);
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if resultCode then
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logr.log('E', 'useMethod() failed. resultCode=$s', resultCode);
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resultCode = pm.execute();
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if (resultCode) then put 'Error: pm.execute failed. resultCode=' resultCode;
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else do;
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EM_CLASSIFICATION = pm.getString('EM_CLASSIFICATION');
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EM_EVENTPROBABILITY = pm.getDouble('EM_EVENTPROBABILITY');
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end;
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end;
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method run();
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set SASEP.IN;
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score(LOAN, MORTDUE, VALUE, REASON, JOB, YOJ, DEROG, DELINQ, CLAGE, NINQ, CLNO, DEBTINC, resultCode, EM_CLASSIFICATION, EM_EVENTPROBABILITY);
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end;
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enddata;

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