This feature enables the Provider Data Scientist /Business Analyst to define analytical models on the Bristlecone NEO® Platform

Publish Analytics Model

Following are the parameters to publish a model to be executed as a custom job on the Bristlecone NEO® Platform:

  • Model Name: Provide a relevant name that indicates the purpose of the model
  • Model Description: This field is used to input additional information about the Model created
  • Model Native Type: In Release 1a, the Bristlecone NEO® Platform supports the following programming runtime
  • Python
  • R Script
  • State: This flag indicates if the Model is Published or Unpublished
  • Modified Date: Displays the most recent date of modification
  • Modified By : Displays the email id of the user
  • Action(s) : enables the user to perform the following actions on a Model
  • Publish/Unpublish a Model
  • Download a Model
  • Edit a Model
  • Delete a Model

Analytics Model Management List Page is as shown below



Add a Model

Steps to add an analytics model:

  • Click on + icon to create/add a Model as shown below


There are two ways to upload the model’s Program File

  • Single File: Upload a single program (Python /R) file using the Select File option

  • Multiple files: This option is used when there are multiples files to create a model and there is a Main Program File which is the starting point in the model execution

Note 1 : Compress the set of files in .zip format

Note 2 : Indicate the start point of execution within these set of files – called the Main Program Name


The Data Scientist has two options – to save the model or to publish the model to a data pipeline as a custom job

  • Save and Close: This option will save the file and close the Add Model Pop up screen as shown in below screen capture

Note : This option will not publish the Data Model and hence the user will not be able to perform custom jobs using a Data Pipeline

Once the model is saved and closed. It will be populated in the Analytical Model Management dashboard as shown below


Click on the Publish/Unpublish icon as shown below


Click on the Publish button


Save and Publish: This option will save and Publish the File and make the model available to custom jobs using a Data Pipeline


Once the user publishes (makes the model available for Data Pipeline Custom Jobs) a notification appears as shown below

Note : This notification appears when the user publishes a model using the Publish icon in the Action column of the Analytical Management Dashboard

Post publishing , the Publish icon color changes to darker blue as shown below


Edit Model

Steps to Edit a Model

  • Click on Edit Model icon as shown below


  • Update the required fields (only Model Description and File Upload are editable)

Note : When multiple files are uploaded , user must declare the name of the main program

Post upload, Click on Update to save the changes

Note 1 : User can do the following using the “Edit Model “ feature

  • Describe a Model
  • Upload Python scripts

Note : User cannot change other attributes apart from the above mentioned functionalities

Delete a Model

  • Click on Delete icon to delete the model


Now click on Delete button to confirm the deletion of the model


Download Model

  • Click on Download icon to download the specific model as shown below


Export Model List

  • Enables the user to export the entire list of Models tabulated in the Analytical Model Management List Page

  • Click on Export icon shown below


Refresh List

Enables the user to refresh the list