updated examples to use current versions of functions

Author: djm21

examples/pzmmCompleteModelExampleMLFlowSklearn.ipynb renamed to examples/pzmm_complete_model_example_MLFlow_sklearn.ipynb

@@ -229,8 +229,8 @@
    "outputs": [],
    "source": [
     "J = pzmm.JSONFiles()\n",
-    "J.writeVarJSON(inputsDict, isInput=True, jPath=zipFolder)\n",
-    "J.writeVarJSON(outputsDict, isInput=False, jPath=zipFolder)"
+    "J.write_var_json(inputsDict, isInput=True, jPath=zipFolder)\n",
+    "J.write_var_json(outputsDict, isInput=False, jPath=zipFolder)"
    ]
   },
   {
@@ -241,7 +241,7 @@
    "outputs": [],
    "source": [
     "# Write model properties to a json file\n",
-    "J.writeModelPropertiesJSON(modelName=modelPrefix,\n",
+    "J.write_model_properties_json(modelName=modelPrefix,\n",
     "                            modelDesc='MLFlow Model ',\n",
     "                            targetVariable='BAD',\n",
     "                            modelType='Logistic Regression',\n",
@@ -253,7 +253,7 @@
     "                            modeler='sasdemo')\n",
     "\n",
     "# Write model metadata to a json file\n",
-    "J.writeFileMetadataJSON(modelPrefix, jPath=zipFolder)"
+    "J.write_file_metadata_json(modelPrefix, jPath=zipFolder)"
    ]
   },
   {
@@ -294,7 +294,7 @@
    "outputs": [],
    "source": [
     "I = pzmm.ImportModel()\n",
-    "I.pzmmImportModel(zipFolder, modelPrefix, 'MLFlowTest', inputsDict, None, '{}.predict({})', metrics=['tensor'], force=True)"
+    "I.import_model(zipFolder, modelPrefix, 'MLFlowTest', inputsDict, None, '{}.predict({})', metrics=['tensor'], force=True)"
    ]
   },
   {

examples/pzmm_tensorflow_keras_model_import.ipynb

@@ -686,10 +686,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "inputVar.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/inputVar.json\n",
-      "outputVar.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/outputVar.json\n",
-      "ModelProperties.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/ModelProperties.json\n",
-      "fileMetadata.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/fileMetadata.json\n"
+      "inputVar.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/inputVar.json\n",
+      "outputVar.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/outputVar.json\n",
+      "ModelProperties.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/ModelProperties.json\n",
+      "fileMetadata.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/fileMetadata.json\n"
      ]
     }
    ],

examples/register_pytorch_comp_vision.ipynb

@@ -114,20 +114,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "inputVar.json was successfully written and saved to /data/paugre/rapidApp2/Model/inputVar.json\n",
-      "outputVar.json was successfully written and saved to /data/paugre/rapidApp2/Model/outputVar.json\n"
+      "inputVar.json was successfully written and saved to Model/inputVar.json\n",
+      "outputVar.json was successfully written and saved to Model/outputVar.json\n"
      ]
     }
    ],
    "source": [
     "# Input variables\n",
     "inputVar = pd.DataFrame({'image' : ['msg'*33333]})\n",
-    "sasctl.pzmm.writeJSONFiles.JSONFiles().writeVarJSON(inputDF=inputVar,isInput=True)\n",
+    "pzmm.JSONFiles.write_var_json(inputDF=inputVar,isInput=True)\n",
     "inputVarJSON = pd.read_json(\"inputVar.json\")\n",
     "\n",
     "# Output variables\n",
     "outputVar = pd.DataFrame({'food_label' : ['msg'*90], 'msg' : ['msg'*90]})\n",
-    "sasctl.pzmm.writeJSONFiles.JSONFiles().writeVarJSON(inputDF=outputVar,isInput=False)\n",
+    "pzmm.JSONFiles.write_var_json(inputDF=outputVar,isInput=False)\n",
     "outputVarJSON =  pd.read_json(\"outputVar.json\")\n",
     "\n",
     "# Define Input Output Variables and types for SAS Model Manager\n",