Model Catalog

Prerequisites

Note: This feature requires PostgreSQL to be installed.

Register New Model

1. Select the Model Catalog tab at the top of the page.

2. Click Register a new model to open the registration modal.

3. Enter the following parameters:

Note: Name, uri, and version must be unique. If these values already exist in the model catalog and the model is in use, consider deleting the model everywhere it is currently running before continuing with this demonstration, or use your own values.

Model Name	cifar10
URI	gs://seldon-models/triton/tf_cifar10
Artifact Type	Tensorflow
Version	v1.0
Task Type	Classification
Project	seldon

1. Append tags and metric parameters with the following values. To add more parameters, use the + button. To delete a parameter, use the x button:

   • Tags:

     Key	Value
     author	Seldon
     training_set	Resnet32

   • Metrics:

     Key	Value
     p1	0.8
     p2	0.6

2. Click Register Model.

Register A Model

Deploying Models From The Model Catalog

1. Select the Model Catalog tab at the top of the page.

2. Click on the vertical ellipses "⋮" icon for the model named cifar10.

3. In the dropdown menu that appears, select Deploy.

4. In the wizard which appears, enter the following details:

Seldon Core 2

Name	cifar10
Namespace	seldon
Type	Seldon ML Pipeline
Runtime	Tensorflow

Seldon Core 1

Name	cifar10
Namespace	seldon
Type	Seldon Deployment
Runtime	Triton (ONNX, PyTorch, Tensorflow, TensorRT)
Model Name	cifar10

The Model Name is linked to the name described in the model-settings.json file, located in the Google Cloud Storage location. Changing the name in the JSON file would also require changing the Model Name, and vice versa.

Deployment predictor

1. Click Next steps, then click Launch.

Select the Overview header tab to verify that your model has been deployed.

Edit Model Metadata

Note:

• Changing the prediction schema will require a new model to be registered.

• You can click on the vertical ellipses ⋮ button to clone a model and set a new prediction schema with a different version.

• Name, Version, Tags, and Metrics can be changed at any time.

From The Model Catalog

1. From the Overview page, select Model Catalog at the top of the page.

2. Select a model.

3. On the side drawer that opens, click Edit Metadata.

4. Add a new tag with the following values:

   Key	Value
   stage	production

5. Click Save Metadata at the top right hand side of the side drawer to save your edit.

From A Deployment's Dashboard

1. From the Overview page, select a pipeline or deployment.

2. In the dashboard, click on the model within Pipeline Components (or Deployment Components for Core 1). This should open a drawer on the right hand side.

3. Click Edit Metadata.

4. Under the Tags section, press the + button to add a new tag.

5. For the new tag, enter the following parameters:

   Key	Value
   stage	production

6. Click Save Metadata on the top right of the side drawer.