Text Explanations

This demo helps you learn about:

• Launching a movie sentiment pipeline which takes text input

• Sending a request to get a sentiment prediction

• Creating an explainer for the model

• Sending the same request and then get an explanation

The explainer uses the to provide insight into why a particular classification was made by the model. We'll see patterns in input text that are most relevant to the prediction outcome.

Create a Seldon Deployment

1. In the Overview page, click Create new deployment.

2. Type the following deployment details and click Next:

   Parameter

   Value

1. Click Next for the remaining steps in the Deployment Creation Wizard and then click Launch.

Get Predictions

1. Click the movie deployment that you created.

2. In the Deployment Dashboard, click Predict in the left pane.

3. In the Predict page, click Enter JSON and paste the following text:

Add an Anchor Text Explainer

1. In the Deployment Dashboard page for the deployment movie, click Add inside the MODEL EXPLANATION card.

2. In the Explainer Configuration Wizard, choose Text and click Next.

3. In the Explainer Types step, choose the Anchor

After sometime, the explainer should become available.

Get Explanation for one Request

1. In the Deployment Dashboard for the deployment named movie, click Predict in the left pane.

2. In the Predict page, click Enter JSON and once again paste the following text and click Predict:

3. Click Explain to generate explanations for the request.

Next Steps

Try the other or read our to learn more about how to use Seldon Enterprise Platform.