Seldon Core Release 0.4.1¶
A summary of the main contributions to the Seldon Core release 0.4.1.
Black Box Model Explanations¶
By utlizing Seldon’s open source Model Explanation library Alibi we provide the ability to launch a model and an associated explainer for that model. At present we support the Anchors explanation technique for tabular text and image examples.
An example SeldonDeployment for an image model with associated explainer is shown below:
apiVersion: machinelearning.seldon.io/v1alpha2
kind: SeldonDeployment
metadata:
name: image
spec:
annotations:
seldon.io/rest-read-timeout: "10000000"
seldon.io/grpc-read-timeout: "10000000"
seldon.io/grpc-max-message-size: "1000000000"
name: image
predictors:
- graph:
children: []
implementation: TENSORFLOW_SERVER
modelUri: gs://seldon-models/tfserving/imagenet/model
name: classifier
endpoint:
type: GRPC
parameters:
- name: model_name
type: STRING
value: classifier
- name: model_input
type: STRING
value: input_image
- name: model_output
type: STRING
value: predictions/Softmax:0
engineResources:
requests:
memory: 1Gi
explainer:
type: anchor_images
modelUri: gs://seldon-models/tfserving/imagenet/explainer
name: default
replicas: 1
The Tensorflow model has a anchor_images explainer associated with it. An example input showing a persian cat along with an example explanation for that image showing the segment of the image the model focused on for providing the classifcation result can be seen below.
We provide an example notebook with tabular, text and image model examples.
Misc. Updates¶
We now use Jenkins X as our project CICD platform.
We are available on the RedHat Container Catalog. Update to 0.4.1 soon.