SymetryML6.1
  • Introduction
  • Guides
    • Onboarding Guide
    • Technical Requirements
    • Admin User Guide
    • Installation Guide
      • Installation Guide - GPU
      • Installation Guide - Spark
  • SymetryML GUI
    • ML Toolkit
      • The SymetryML Difference
      • Data Mining Lifecycle
      • SymetryML Concepts
      • Data Sources
      • Streams
      • Encoders
      • Projects
      • Models
    • Sequence Models
    • SymetryML Federated Learning
      • Creating the Federation
      • Load data to local project
      • Requesting Federation Information from Admin Node
      • Joining a Federation with a peer node
      • Federated Data & Modelling
      • Appendix
    • DEM Generator
  • SymetryML Rest Client
    • REST API Reference Guide
      • SymetryML REST API Security
      • SymetryML JSON API Objects
      • Encoder Object REST API
      • SymetryML Projects REST API
      • About Federated Learning
      • Hipaa Compliance and Federated Learning
      • Federated Learning API
        • Federated Learning Topologies
        • Federated Learning with Nats
        • Federated Learning with AWS
        • Fusion Projects
      • Exploration API
      • Modeling API
      • Exporting and Importing Model
      • Third Party Model Rest API
      • SymetryML Job Information
      • Prediction API
      • Data Source API
      • Project Data Source Logs
      • Stream Data Source API
      • AutoML with SymetryML
      • Transform Dataframe
      • Select Model with SymetryML
      • Auto Select with SymetryML
      • Tasks API
      • Miscellaneous API
      • WebSocket API
      • Appendix A JSON Data Structure Schema
      • Appendix B Sample Code
  • SymetryML SaaS
    • SaaS Homepage
    • SaaS Dashboard
    • SaaS Account
    • SaaS Users
    • SaaS Licence
Powered by GitBook
On this page
  • Introduction
  • Tutorial
  • Step 1 Specifying a remote project
  • Step 2 Processing local file
  • Step 3 Uploading the DEM
  • Advanced Project Options
  1. SymetryML GUI

DEM Generator

PreviousAppendixNextREST API Reference Guide

Last updated 11 months ago

Introduction

The DEM Generator allows users to generate DEMs locally on their workstation and upload/merge them to a remote SymetryML project. This is especially useful if the dataset of interest cannot leave the user's workstation.

A remote project must exist on the SymetryML server before using the DEM Generator. For information on how to create a remote project, please see this .

Tutorial

Successful use of the DEM Generator involves the following three steps:

  1. Specifying a remote project

  2. Processing a local file

  3. Uploading the generated DEM to the remote SymetryML Server

The remainder of this tutorial will guide you through these three steps.

Step 1 Specifying a remote project

Referencing a remote project can be done in one of two ways.

Manual Project Reference

To specify a remote project, start the DEM Generator and click on Select a Destination button.

Input the following information:

  • Hostname - SymetryML URI

  • Username - SymetryML User ID

  • Secret Key - SymetryML Secret Key

Refresh the project list and select the remote Project as your destination.

Selecting the remote project will allow you verify it's schema.

Press Confirm to finish Step 1.

Automatic Project Reference

Download the project reference file

Start the DEM Generator and click on Select a Destination button.

Drag and drop the reference file

Input the password you used to generate the reference file.

Press Confirm to finish Step 1.

Step 2 Processing local file

After the remote project has been specified, it is time to choose a local file which will be converted into a DEM.

This can be done by either clicking on the Select a File button, or simply dragging the file into the DEM Generator

You will be presented with a file preview. After previewing the file, you click Next to move to the type mapping view where you will confirm that the attributes types have been assigned correctly. Right clicking on the attribute allows you to change its type.

Click Confirm to close the type mapping panel and finish Step 2.

Step 3 Uploading the DEM

At this stage you have specified a destination project, generated a local DEM, the only step left is click the Upload button.

Log back into your ML Toolkit environment and view the end result.

Advanced Project Options

- Manually inputing the remote project information

- Downloading the reference file which contains remote project information

Advanced project options (e.g., random forest, logistic regression, etc...) should be specified by the remote project during the project creation step. DEM Generator will then mimic those properties locally. If the remote project is empty, the DEM Generator will allow you to specify them locally. This can be done during , by selecting Next on the type mapping panel.

For more information on the advanced project options, please see the following section .

Step 2
Manual Project Reference
Automatic Project Reference
DEM Generator
Remote Project
Remote Project Reference
Remote Project Reference
Local Data
DEM Upload
Project Sync
DEM Advanced Project Options
guide
section