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0.11.2

Features and Bug Fixes

* Fix Python 2.7 support
* Improve sample code Windows support

0.11.1

Features and Bug Fixes

* GPU Monitoring is now embedded into trains (*removed gpustat dependency*)
* Add initial support for Tensorflow v2.0 (tested with v2.0.0rc1)
* Add artifact upload retry on network errors (default: 3)
* Suppress urllib3 retry warnings
* Fix Matplotlib support with Agg backend (multiple plot windows caused repeated graphs to be sent)
* Fix support for tuples in hyper-parameters
* Fix multi processing issues with different task types

0.11.0

New Features and Bug Fixes

- Better message on "Enter"
- Use `wexpect_venv` instead of `wexpect` due to https://github.com/raczben/wexpect/issues/26#issuecomment-1574339194
- Fix cached old Task ID causes session CLI to stop working due to `APIError` raised

0.10.7

Features and Bug Fixes
* Artifacts support
* Removed apache-libcloud from requirements
* `trains-init` now verifies credentials against the trains-server installation

0.10.6

Features and Bug Fixes
* Fix broken (v0.10.5) Keras Binding support

0.10.5

Features and Bug Fixes
* **Add GPU monitoring support** (add gpustat package to extras_require)
- Install with GPU monitoring support: `pip install trains[gpu]`
* Move all cloud storage package requirements to `extras_require`
Install with specific cloud provider support:
- **Microsoft Azure support**: `pip install trains[azure]`
- Google Storage support: `pip install trains[gs]`
- Amazon S3 support: `pip install trains[s3]`
* Combine Cloud support with GPU monitoring:
For example S3 and GPU: `pip install trains[s3,gpu]`
* Improve stability with intermittent network connection
* Support upgrading *trains-server* while running training jobs without losing log data

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