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Overview

The Insight Runner runs a single eWater Insight optimisation across one or more Source Projects.

eWater Source Project Setup

To run a Insight Replicate job, the eWater Source project(s) must already be configured to be run in traditional insight with it's configuration in the text file format, see Using the command line for Insight and Configuring an Insight Optimisation Run.

Once configured, the eWater Source project(s), any local csv resource files, and Insight config.txt file must be placed in a ZIP file.

Contents

Job Creation

Upload Data

Click "Choose Insight zip" and select the .zip file that contains your Insight project. It may take a few seconds for the file to upload.

Once the project has uploaded, the Insight Runner configuration options will be displayed.

Configuration

Table 1 lists the configuration options for the Insight Runner.

Table 1. Insight Runner job configuration.

Configuration Option

Description

Config File

The insight configuration file to run the optimisation with. It will be automatically filled out the file from the Insight ZIP.

It should be noted that the parameters 'project', 'population' and 'generations' will replaced/added by the runner and don't have to specified like in a traditional insight optimisation

Population SizeThe population size given to the NSGA-II algorithm to use during the optimisation
Number of GenerationsThe number of generations given to the NSGA-II algorithm to use during the optimisation

Queue Job Configuration

Table 2 lists the configuration options for the Insight Runner.

Table 2. Insight Runner job configuration.

Configuration Option

Description

Job Name

The name given to the job when viewed in the Run Manager

Agent End points

The location of agents that are created for this job.

  • Local - A local executable to the Run Manager Server
  • AWS - An Amazon Web Services EC2 t2.small machine
Number of AgentsThe amount of agents to be allocated to the job. Note that Insight Jobs must have at least 2 (one master and one endpoint) and cannot be greater than the (population size + 1) as NSGA-II cannot move onto the next generation until all individuals in the current generation have finished.
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