Releases: mlrun/demos
v0.6.4
v0.6.3
In this release we updated to MLRun demos for MLRun versions >=0.6
This release includes documentation and demo updates.
Documentation and Code Cosmetics
[skelarn] Update sklearn project demo for mlrun 0.6 (#106)
[howto] Download dataset before running the spark operator (#104)
[howto] Updated converting-to-mlrun model location (#101)
[Churn] Update references and doc (#102)
[network-operations] support set env (#105)
[network-operations] Documentation updates (#100)
[network-operations] bugfixes and code cosmetics (#99)
[FaceRecognition] Use mlrun align_mlrun (#103)
[FaceRecognition] real-time-face-recognition demo update for 0.6.x (#98)
v0.6.2
In this release we updated to MLRun demos for MLRun versions >=0.6
This release includes a lot of new documentation and some code cosmetics / bugfixes.
New Demos
- Model Streaming (#94)
Documentation and Code Cosmetics
[DOC] getting-started-tutorial doc review (#95)
[General] Added QA hints to demos (#89)
[howto] rename files to conform to naming conventions (#92)
[network-operations] Documentation and code cosmetics (#93)
v0.5.2
Demos in the release are for MLRun==0.5.x
This release includes a major overhaul of existing demos with emphasis on documentation.
New Demos
- Mask Detection
- Model Deployment with Streaming Data
v0.6.1
In this release we updated to MLRun demos for MLRun versions >=0.6
New demos:
How To
- Spark usage through MLRun with service / operator
- How to convert Kaggle notebooks to MLRun functions
- Getting Started
- 4 Staged tutorial on how to get started with MLRun
Updated demos:
- Image Classification
- New documentation regarding distributed training and horovod
- Optimised TF code
v0.5.1
Demo restructuring for MLRun 0.5.x
v0.5.0
MLRun demos for MLRun versions 0.5.x
