v1.4.10

Maintenance release.
Issues with oauth REST api fixed.

v1.4.9

Maintenance release.
Issue with seldon-control container fixed.

v1.4.8

This is a maintenance release.

• Includes merge request for seldon-cli improvement
• Updates to latest Tomcat and Hadoop versions

v1.4.7

Bug fix release. Update "seldon-cli client --action processactions" to use Spark memory settings.

v1.4.6

Maintenance release

• Kubernetes default memory requests and limits set for core services
• GlusterFS persistent volume claim updated to work with Kubernetes 1.6
• Spark driver/executor memory can be set from Luigi and seldon-cli
• Kafka stream processing simplified for API stats on dashboard

v1.4.5

• Google Cloud ingress to allow TLS security over external IP to Seldon API on Google Container Platform
• Updated Kafka-stream analytics using 0.10.2.1 of kafka/kafka-streams and running as Kubernetes Deployments
• Several small bug fixes

v1.4.4

Product Naming Update
Seldon’s current open-source platform has been renamed Seldon Core to allow us to distinguish our open-source machine learning deployment platform from a new product that we are currently working on. We will share more info with you soon and will reach out to this group for beta testers.

Seldon Core 1.4.4. includes various updates:

• Kubernetes persistent volumes are abstracted by using Persistent Volume Claims. Fixes issue #50.
• All components run as Kubernetes Deployments. Fixes issue #49.
• Initial beta ability to run external Google MySQL server outside Kubernetes.
• Updated luigi configuration for describing ML pipelines and built-in algorithms.

Thanks to @colemickens for submitting both of the above issues!

v1.4.3

Bug fix release for kubernetes configuration

v1.4.2

Maintenance release.
Docs for anomaly detection demo updated and python libraries in docker fixed.

v1.4.1

Maintenance release with updates to built-in recommendation algorithms.
Initial code for Anomaly Detection.