Add modified fraud detection Elyra pipline with new data csvs. (#48)

Author: cfchase

6 Train Save.pipeline

@@ -15,7 +15,7 @@
           "app_data": {
             "component_parameters": {
               "dependencies": [
-                "data/card_transdata.csv"
+                "data/*.csv"
               ],
               "include_subdirectories": true,
               "outputs": [
@@ -33,7 +33,7 @@
             "label": "",
             "ui_data": {
               "label": "1_experiment_train.ipynb",
-              "image": "/notebook/fraud-detection-w-modelmesh/tensorflow-workbench/static/elyra/notebook.svg",
+              "image": "/notebook/fraud-detection/tensorflow/static/elyra/notebook.svg",
               "x_pos": 88,
               "y_pos": 275,
               "description": "Run notebook file"
@@ -115,7 +115,7 @@
             "label": "",
             "ui_data": {
               "label": "2_save_model.ipynb",
-              "image": "/notebook/fraud-detection-w-modelmesh/tensorflow-workbench/static/elyra/notebook.svg",
+              "image": "/notebook/fraud-detection/tensorflow/static/elyra/notebook.svg",
               "x_pos": 342,
               "y_pos": 277,
               "description": "Run notebook file"
@@ -168,14 +168,14 @@
           "name": "6 Train Save",
           "runtime": "Data Science Pipelines",
           "pipeline_defaults": {
+            "kubernetes_shared_mem_size": {},
+            "kubernetes_pod_labels": [],
             "kubernetes_tolerations": [],
             "mounted_volumes": [],
             "kubernetes_pod_annotations": [],
-            "kubernetes_pod_labels": [],
-            "kubernetes_shared_mem_size": {},
             "env_vars": [],
             "kubernetes_secrets": [],
-            "runtime_image": "quay.io/modh/runtime-images@sha256:ba76fd74b7595329a23f710485a7701caa0a7b495e60c89a23d5338ca13cf2e2"
+            "runtime_image": "quay.io/modh/runtime-images@sha256:1186ac6c9026d1091f707fe8cedfcc1ea12d1ec46edd9e8d56bb4b12ba048630"
           },
           "pipeline_parameters": []
         }