Initializing help system before first use

Audience

To get the most from this guide, you will need to be familiar with the programming and markup languages detailed below, and have some knowledge of the interaction model that underlies the Xpress Insight web client itself. Further information is available in the following section.
  • The core at the heart of any Xpress Insight app is the model that is solved; this model can be written in Python and connected to any solver. You will need some experience of the solver algorithms. To develop your own apps, FICO recommends Xpress Workbench as an application for creating and editing Xpress Insight apps and standalone Python models. Xpress Workbench also features tools for debugging Xpress Insight apps.
  • You can customize interactions between Xpress Insight and the model, and how it is presented to business users. Configuration options are specified in an XML file, and you will need a basic understanding of how to create and edit XML documents.
  • An Xpress Insight app is a container for multiple views of the model, its state and data. There are three main options for developing additional, custom views:
    • You can use VDL (View Definition Language) to create views as embedded web pages, which requires a working knowledge of XML and, optionally, HTML.
    • You can also use JavaScript to create views as embedded web pages, which will require a working knowledge of JavaScript, HTML and CSS.
    • Views can be created in Tableau for FICO, published to the Tableau server and made available to Xpress Insight. For best results, you should already be familiar with doing so in Tableau itself.
  • To understand how the underlying model will appear to business users, and to understand the impact of your customization activities, you will need to be familiar with the Xpress Insight web client user interface.
Parent Topic Introduction

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