Explainers¶

Explainers are Model resources with some extra settings. They allow a range of explainers from the Alibi-Explain library to be run on MLServer.

An example Anchors explainer definitions is shown below.

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: income-explainer
spec:
  storageUri: "gs://seldon-models/scv2/samples/mlserver_1.6.0/income-sklearn/anchor-explainer"
  explainer:
    type: anchor_tabular
    modelRef: income

The key additions are:

  • type : This must be one of the supported Alibi Explainer types supported by the Alibi Explain runtime in MLServer.

  • modelRef : The model name for black box explainers.

  • pipelineRef : The pipeline name for black box explainers.

Only one of modelRef and pipelineRef is allowed.

Pipeline Explanations¶

Blackbox explainers can explain a Pipeline as well as a model. An example from the Huggingface sentiment demo is show below.

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: sentiment-explainer
spec:
  storageUri: "gs://seldon-models/scv2/examples/huggingface/speech-sentiment/explainer"
  explainer:
    type: anchor_text
    pipelineRef: sentiment-explain

Examples¶