Model Explanations with Anchor Images¶
In this demo we will:
Launch an income classification model which has image training features
Send a request to get a prediction
Create an explainer for the model
Send the same request and then get an explanation for it
This model provides a model trained to classify images based on CIFAR10 dataset.
The explainer uses the anchors technique to provide insight into why a particular classification was made by the model. We’ll see patterns in an input image that are most relevant to the prediction outcome.
Create Model¶
Use the following model URI with tensorflow runtime.
gs://seldon-models/tfserving/cifar10/resnet32
Get Predictions¶
Run a single prediction using the tensorflow payload format of an image truck
.
Add an Anchor Images Explainer¶
Create a model explainer using the URI below for the saved explainer.
gs://seldon-models/tfserving/cifar10/explainer-py36-0.5.2
Get Explanation for one Request¶
View all requests and then explain it using the JSON below: