Machine Learning

Element

Function

The Machine Learning element can only be found inside an Integration element and is used in an EPC to integrate machine learning models.

Connection

Predecessor: None
Successor: Function

Example

On ACME's Scheer PAS Server runs a machine learning service. A customer enters his data in a form. The data is then processed by the Request ML Service. The result is the decision if wether or not the customer will get a loan and to what loan rate.

Name

Name of the element within modeling.

ID

The read-only field contains the model ID of the element. Designers can use the ID for example in the search to link the element in other models.

Description

A commentary field for the modeler. Its content is invisible to users and its sole purpose is internal documentation.

Hashtags

Possibility to insert your own key terms . The leading hashtag sign # (hash) will be inserted automatically. Use the spacebar to insert multiple hashtags:

One hashtag may be issued for multiple elements:

ML model name

In this field enter the name of the machine learning model you want to use.

Method

Choose the corresponding method matching your machine learning service action from the drop-down menu.

The following methods are available:

List of Parameters

Contains the list of parameters to be transferred.

Example: The loan details are to be transferred

Header Fields

Here you may allocate explicit header fields, for example cookies, tokens etc.

Example: In the header field, credentials for authentication are saved.

Field Name in Container

Assign a name under which the server answer is saved in the container. If the Field Name in Container remains empty, integration.result will be used.