Seldon Core Release 0.4.0¶
A summary of the main contributions to the Seldon Core release 0.4.0.
Prepackaged Model Servers¶
Seldon provides several prepacked servers you can use to deploy trained models:
For these servers you only need the location of the saved model in a local filestore, Google bucket or S3 bucket. An example manifest with an sklearn server is shown below:
apiVersion: machinelearning.seldon.io/v1alpha2 kind: SeldonDeployment metadata: name: sklearn spec: name: iris predictors: - graph: children:  implementation: SKLEARN_SERVER modelUri: gs://seldon-models/sklearn/iris name: classifier name: default replicas: 1
modelUri specifies the bucket containing the saved model, in this case
modeluri supports the following three object storage providers:
Google Cloud Storage (using
Azure Blob storage (using
Gunicorn Alpha Feature¶
We have a kustomize resource you can use and extend for your own particular setup for installing Seldon Core.
More Example Integrations¶
Our range of example has expanded to include: