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Overview

This article is an introduction to the ModelOp Command Center user interface.

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Table of Contents

The ModelOp Command Center displays a single screen with access to all of the tools to monitor and manage your models. This section describes the components of the Command Center which appear on the Dashboard. The components include the three panes in the middle of the screen, and the four icons in the column on the left.

Models Pane

On the Models pane, you can see the current status of the models in your system. The Models pane shows:

  • The number of models that are currently registered. This is the number of models being managed.  

  • The number of models that are currently deployed in an MLC Engine

  • The number of model tests that have failed

  • The number of those failures that are errors in the model as opposed to system or MLC errors

You can click on a category that is populated to see details. For instance, if Test Failures shows the number 2, you can click on the number to see details about the failures.

Processes Pane

The Processes pane displays how many MLC processes are currently deployed.

The MLC Processes

Each MLC Process has built in monitoring tasks that report events and errors to the Command Center. This pane displays the following:

  • The number of defined MLC Processes

  • The number of reported incidents

  • The number of active MLC Processes

  • The number of MLC Process errors

Each model can have only one MLC Process deployed with it.

Engines Pane

The Engines pane displays information about the runtime engines in the system. These are the environments where models are deployed.

This pane displays how many engines are available, active, idle, and if there are any engine errors.

Tasks and Alerts Icon

The Tasks and Alerts screen has two tabs, My Tasks and Approvals.

My Tasks

Tasks are defined as User Tasks in the MLC Process. They can be configured to assign tasks to a specific person, and to one of the categories in this section of the ModelOp Command Center.

Tasks are things a user has to do - such as approve a model or acknowledge a failed test - so that the MLC Process can move forward.

The My Tasks page filters tasks in two categories:

  • All Open Tasks

  • Tasks in Progress

Approvals

  • My active Tasks - # outstanding

  • ds_team - awaiting assignment - # outstanding

  • python_approvers - awaiting assignment - # outstanding

  • r_approvers - awaiting assignment - # outstanding

  • other_approvers - awaiting assignment - 0 outstanding

Runtimes Icon

The Runtimes screen has the following tabs:

Jobs

Displays how many jobs are running, how many have failed, how many were successful and the total.

Runtime Dashboard

 Displays high level status for all currently deployed runtime engines, each in it’s own pane. Click on the pane for access to details about that Runtime engine. Tabs under the Runtime Dashboard pane include:

  • Details - displays the name and type of the engine, identifying tags, its current state, release number, and when it was last updated

  • Deployed Model - displays information about the model deployed on the engine, if any

  • Platform - platform information including libraries installed on the platform

  • Endpoints - lists assigned input and output endpoints. You can also add new input and output endpoints on this screen.

  • Live View - details about the Edpoint Throughput, CPU Utilization, and System Resource Usage

Engine Stats

 Lists all available engines. Click through an engine for details about that engine.

Models Icon

Tabs under the Models icon are Model Details, Model Tests and Champion/Challenger tabs.

Model Details

The following table describes the details available under the Model Details tab. These fields are available only after you select a model from the list.

Model Info

Displays the name of the model, the description, and any tags applied to the model.

Model Source

Source code that defines the model. Beginning statement initializes the model, loads any attachments into the engine with the model. If you retrain the model and update the attachment, the model is automatically updated.

Attachments

Attachments are training artifacts that get loaded into the model

Input Schemas

Defines the parameters of what is passed to the model.

Output Schemas

Defines the parameters and format of what is passed from the model.

Model Functions

 Access to view the some details about the functions of a model

Model Platform

Lists the dependencies used by the model.

Model Tests

Lists the models in the system. Click a model to access the results of tests on that model.

Click on a test to see visualizations of the tests. The visualizations available depend on the tests built into a MLC Process.

Champion/Challenger

Champion/Challenger is an industry standard technique to compare the performance of competing model strategies, or the performance of a recently updated model against a previous version of the same model.

Lists the models in the system. Click a model to access the results of tests on that model and choose two tests two compare them against each other.

Model Life Cycle Icon

The Model Life Cycle screen has two tabs, MLC Overview and MLC Processes.

The MLC Overview tab displays information about all the activities being handled by the MLC Engine.

  • Active MLC Processes

  • Total Incidents

  • Total Tasks

  • Runtime information

  • Oldest Tasks information

The MLC Processes tab displays the diagrams of the MLC Processes that are currently running.

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