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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

0.10.4

Features and Bug Fixes

* Replace opencv-python with the more standard Pillow package
* Improve matplotlib support (custom axis ticks)
* Improve python package detection

0.10.3

Full feature overview [here](https://medium.com/allegroai/trains-the-maiden-voyage-e099dd003cf)

Features and Bug Fixes

* Add **scikit-learn support** (load/store using joblib) 20
* Add **xgboost support** 10
* Add loguru support 29
* Add sub-domain support [trains.conf](https://github.com/allegroai/trains/blob/master/docs/trains.conf#L3) 27
* Fix sub-process support
* Fix multiple Tensorboard writers 26

0.10.2

Features and Bug Fixes

* Add Matplotlib SVG support
* Add Seaborn support
* Add TRAINS_LOG_ENVIRONMENT environment logging [feature](https://github.com/allegroai/trains/issues/17#issuecomment-507398767)
* Add Microsoft Azure notebook support
* Add Google Colab support
* Fix Tensorboard RGB channel order

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