Fix for the pzmm regression model example.

Author: smlindauer

examples/ARCHIVE/v1_8/RegressionModel/LinearRegression.pickle

@@ -0,0 +1,16 @@
+{
+    "name": "LinearRegression",
+    "description": "",
+    "function": "classification",
+    "scoreCodeType": "python",
+    "trainTable": " ",
+    "trainCodeType": "Python",
+    "algorithm": "",
+    "targetVariable": "Price",
+    "targetEvent": 1,
+    "targetLevel": "BINARY",
+    "eventProbVar": "EM_PREDICTION",
+    "modeler": "sasdemo",
+    "tool": "Python 3",
+    "toolVersion": "3.9.12"
+}

examples/ARCHIVE/v1_8/RegressionModel/ModelProperties.json

@@ -0,0 +1,18 @@
+[
+    {
+        "role": "inputVariables",
+        "name": "inputVar.json"
+    },
+    {
+        "role": "outputVariables",
+        "name": "outputVar.json"
+    },
+    {
+        "role": "score",
+        "name": "LinearRegressionScore.py"
+    },
+    {
+        "role": "scoreResource",
+        "name": "LinearRegression.pickle"
+    }
+]

examples/ARCHIVE/v1_8/RegressionModel/fileMetadata.json

@@ -0,0 +1,32 @@
+[
+    {
+        "name": "Avg_Area_Income",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    },
+    {
+        "name": "Avg_Area_House_Age",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    },
+    {
+        "name": "Avg_Area_Number_of_Rooms",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    },
+    {
+        "name": "Avg_Area_Number_of_Bedrooms",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    },
+    {
+        "name": "Area_Population",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    }
+]

examples/ARCHIVE/v1_8/RegressionModel/inputVar.json

@@ -0,0 +1,8 @@
+[
+    {
+        "name": "EM_PREDICTION",
+        "length": 8,
+        "type": "decimal",
+        "level": "interval"
+    }
+]

examples/ARCHIVE/v1_8/RegressionModel/outputVar.json

@@ -0,0 +1,18 @@
+{
+    "hyperparameters": {
+        "ccp_alpha": 0.0,
+        "class_weight": null,
+        "criterion": "gini",
+        "max_depth": null,
+        "max_features": null,
+        "max_leaf_nodes": null,
+        "min_impurity_decrease": 0.0,
+        "min_impurity_split": null,
+        "min_samples_leaf": 1,
+        "min_samples_split": 2,
+        "min_weight_fraction_leaf": 0.0,
+        "presort": "deprecated",
+        "random_state": 42,
+        "splitter": "best"
+    }
+}

examples/data/hmeqModels/DTC_KPIs/DTC_KPIsV1.pickle

@@ -0,0 +1,17 @@
+{
+    "name": "DTC_KPIsV1",
+    "description": "Description for the DTC_KPIsV1 model.",
+    "scoreCodeType": "python",
+    "trainTable": "",
+    "trainCodeType": "Python",
+    "algorithm": "Decision tree",
+    "function": "Classification",
+    "targetVariable": "BAD",
+    "targetEvent": "1",
+    "targetLevel": "BINARY",
+    "eventProbVar": "P_1",
+    "modeler": "sasdemo",
+    "tool": "Python 3",
+    "toolVersion": "3.8.16",
+    "properties": []
+}