aligned to the official repo

NOTICE

@@ -1 +1 @@
-Copyright (c) 2018 SAP SE or an SAP affiliate company. All rights reserved.
+Copyright (c) 2018 SAP SE or an SAP affiliate company. All rights reserved.

README.md

@@ -12,6 +12,9 @@ Take a look at the list below for links to all the separate samples.
 | ------------- | ------------- | ------------- |
 | Edge Streaming Aggregation  | This sample creates two types of streaming aggregations: sliding (streaming time window - aggregation calculated in every incoming event) and jumping (database like time bucket - aggregation calculated end of every time bucket). The sliding aggregations can be sent to the Streaming Service rule engine | [streaming-aggregation](https://github.com/SAP/iot-edge-services-samples/tree/master/streaming-aggregation)  |
 | Edge Persistence Aggregation  | This sample demonstrates use of the Persistence Service Java API.  This sample queries the Persistence Service at an interval.  The query aggregates data stored in the Persistence Service, and feeds this data back into Edge Services. | [persistence-aggregation-max-temp](https://github.com/SAP/iot-edge-services-samples/tree/master/persistence-aggregation-max-temp)  |
+| Edge Machine learning  | This sample demonstrates how a quality machine learning solution can be deployed on SAP Edge Services platform with an example of defective welding detection. | [edge-ml-welding-sound](https://github.com/SAP/iot-edge-services-samples/tree/master/edge-ml-welding-sound)  |
+| Edge Predictive Analytics 1 | This sample demonstrates how to implement a Predictive Analytics Service.  The service integrates the usage of the Persistence Service Java APIs to get the data, and the Edge Service Configuration object to support dynamic configurations. It is using an external (not provided) JPMML library to compute the prediction,with the provided PMML model | [predictive-pmml](https://github.com/SAP/iot-edge-services-samples/tree/master/predictive-pmml)  |
+| Edge Predictive Analytics 2  | This sample demonstrates how to implement a Predictive Analytics Service.  The service integrates the usage of the Persistence Service Java APIs to get the data, and the Edge Service Configuration object to support dynamic configurations. It is using an external python moduleto compute the prediction with an existing and already existing python model (optionally trained in the cloud) | [predictive-python](https://github.com/SAP/iot-edge-services-samples/tree/master/predictive-python)  |
 
 ## How to obtain support
 
@@ -29,6 +32,4 @@ Product Documentation for SAP Edge Services is available as follows:
 
 ## Copyright and License
 
-Copyright (c) 2018 SAP SE or an SAP affiliate company. All rights reserved.
-
-License provided by [SAP SAMPLE CODE LICENSE AGREEMENT](https://github.com/SAP/iot-edge-services-samples/tree/master/LICENSE)
+Copyright (c) 2018 SAP SE or an SAP affiliate company. All rights reserved. This file is licensed under the Apache Software License, version 2.0 except as noted otherwise in the [License](LICENSE) file.

edge-ml-welding-sound/.gitignore

@@ -0,0 +1 @@
+*.DS_Store

edge-ml-welding-sound/LICENSE

@@ -0,0 +1,41 @@
+SAP SAMPLE CODE LICENSE AGREEMENT
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+
+
+v1.0-071618

edge-ml-welding-sound/NOTICE

@@ -0,0 +1 @@
+Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved.