This public repository is read-only and no longer maintained.
This repository contains the sample code for the ML Text Classifier which is prerequisite & part of Customer Risk Intelligence tutorial.
This code is only one part of the tutorial, so please follow the tutorial before attempting to use this code.
SAP Leonardo cloud platform offerings provides pretrained Machine Learning functional core services, which can be accommodated or extended as per your requirements. In this use case, you retrain an existing functional service with your own custom data set. Then you can consume it directly. Customer Risk Intelligence application makes use of this service in its custom usecase.
This tutorial is one of multiple tutorials that make up the SAP Extensibility Explorer for SAP S/4HANA Cloud. SAP Extensibility Explorer is a central place where anyone involved in the extensibility process can gain insight into various types of extensibility options. At the heart of SAP Extensibility Explorer, there is a rich repository of sample scenarios which show, in a hands-on way, how to realize an extensibility requirement leveraging different extensibility patterns.
- An account in SAP Cloud Platform with a subaccount in the Cloud Foundry environment, SAP Leonardo Machine Learning Foundation Service, Destination and Authorization services enabled.
- Java SE 8 Development Kit (JDK) and Apache Maven to build the application.
- Cloud Foundry Command Line Interface (CF CLI) tool in case you want to deploy the application to Cloud Foundry.
- An SAP S/4HANA Cloud tenant. This is a commercial paid product.
This repository is a part of the sample ML Text Classifier. In step 'Build and Deploy' in the tutorial the instructions for use can be found.
Please download the zip file by clicking here so that the code can be used in the tutorial.
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If you have issues with this sample, please open a report using GitHub issues.
Copyright © 2019 SAP SE or an SAP affiliate company. All rights reserved. This file is licensed under the SAP Sample Code License except as noted otherwise in the LICENSE file.