Scikit-learn version update to 0.20.3v and repo link change

ec2deploy.py

@@ -10,16 +10,16 @@
 parser.add_argument('enable_cors')
 args = parser.parse_args()
 
-#comment occurences of AWS_SESSION_TOKEN and session_token
-#if you are not using an AWS Educate Account
+# comment occurences of AWS_SESSION_TOKEN and session_token
+# if you are not using an AWS Educate Account
 
 session = boto3.Session()
 access_key = session.get_credentials().access_key
 secret_key = session.get_credentials().secret_key
 session_token = session.get_credentials().token
 ec2 = session.resource('ec2')
 
-start_up_script="""#!/usr/bin/env bash
+start_up_script = """#!/usr/bin/env bash
 export AWS_ACCESS_KEY_ID='{access_key}'
 export AWS_SECRET_ACCESS_KEY='{secret_key}'
 export AWS_SESSION_TOKEN='{session_token}'
@@ -54,7 +54,7 @@
 
 print('Instance {} was started. Waiting for output ...'.format(i.instance_id))
 
-prev_output=''
+prev_output = ''
 while True:
     time.sleep(10)
     o = i.console_output()
@@ -63,16 +63,14 @@
         if output != prev_output:
             print('...\n'*3)
             print(output)
-            prev_output=output
+            prev_output = output
     if i.state['Name'] == 'terminated':
         break
 
-success_string='Stack {} was successfully deployed'.format(args.stack_name)
+success_string = 'Stack {} was successfully deployed'.format(args.stack_name)
 
 print(('#'*60+'\n')*3)
 if success_string in prev_output:
     print(success_string)
 else:
     print('There were some problems. See above output for more details')
-
-

index.html

@@ -149,7 +149,7 @@ <h3 class="text-center">Test Results
           console.log(userInfo.duration, "seconds of execution time.")
           console.log(userInfo,"userInfo")
           document.getElementById("responseJSON").value = JSON.stringify(userInfo.ipynb);
-          document.getElementById("resultJSON").value = JSON.stringify(userInfo.result);
+          document.getElementById("resultJSON").value = JSON.stringify(userInfo.results,null,'\t');
 
           // pass data to component via problem global object
           window.problem = userInfo.ipynb;

main.py

@@ -20,9 +20,6 @@
 
 os.environ['PYTHONPATH'] = os.environ['PYTHONPATH'] + ":" + CURRENT_DIR + ":" + BUILD_DIR + ":" + OVERLAY_DIR
 
-
-
-
 import logging
 import nbformat
 from nbconvert.preprocessors import ExecutePreprocessor
@@ -56,7 +53,6 @@ def save_files_to_temp_dir(files):
 
 def execute_notebook(source):
     """
-
     :param source: Jupyter Notebook
     :return: Result of the notebook invocation
     """
@@ -115,19 +111,22 @@ def handler(event, context):
         attached_files = request_body['files'] if 'files' in request_body else {}
         save_files_to_temp_dir(attached_files)
 
-
-
         start = timer()        
         result = execute_notebook(json.dumps(notebook_source))
         result = json.loads(result)
 
         exec_result = return_result_json()
-
+        print(exec_result)
+        print(type(exec_result))
+        if(exec_result and isinstance(exec_result, str)):
+            exec_result_loaded = json.loads(exec_result)
+        else:
+            exec_result_loaded = exec_result
         end = timer()
         duration = end - start
         response = {
             "statusCode": 200,
-            "body": json.dumps({"duration": duration,"ipynb": result, "result": exec_result}),
+            "body": json.dumps({"duration": duration,"ipynb": result, "result": exec_result, "results":exec_result_loaded}),
             "headers": {
                 'Content-Type': 'application/json',
             }