Clearml

Features and Bug Fixes
* Add `Task.connect_configuration()`, connect your configuration file (or configuration dictionary including nesting support). See [example](https://github.com/allegroai/trains/blob/master/examples/manual_model_config.py).
* Add `Task.connect_label_enumeration()`, store model detection classes together with the model & experiment
* Edit & override configuration file (or dictionary) content when executing with [trains-agent](https://github.com/allegroai/trains-agent)
* `Task.connect()` automatically supports nested dictionaries (e.g. `param/nested/key`) , including overriding values when running with [trains-agent](https://github.com/allegroai/trains-agent). See [example](https://github.com/allegroai/trains/blob/master/examples/manual_model_config.py).
* Add `Artifact.get()`, download & load an artifact.
* Add `Task.get_tasks()`, retrieve previous experiments, get metrics, rename etc.
* Improve Windows support
* Improve Minio support
* Fix Python2 support
* Fix Issue 56

Features and Bug Fixes

* TRAINS Agent support (Full DevOps support)
* Add AutoML and orchestration [examples](https://github.com/allegroai/trains/tree/master/examples/automl)
Supports TRAINS-server v0.12 or above
* Add Logger x/y/z axis title for: report_surface / report_confusion_matrix / report_scatter3d / report_scatter2d / report_histogram
* Add support for TensorFlow 2.0
* Embed pyhocon into package
* Fix artifacts support on Windows
* Fix example code Windows support

Features and Bug Fixes

* Resource-Monitor will only monitor active GPU devices
based on environment variables: NVIDIA_VISIBLE_DEVICES or CUDA_VISIBLE_DEVICES
* Fix issue 48

Features and Bug Fixes

* Fix Python 2.7 support
* Improve sample code Windows support

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

Features and Bug Fixes

* Full artifacts support (supported by trains-server >= 0.11.0)
* Artifacts include, Pandas.DataFrame, Numpy, PIL Image, local files, and local folder/wildcard ([example](https://github.com/allegroai/trains/blob/master/examples/artifacts_toy.py))
* Artifacts support for folder/wildcard, selected files will be zipped and uploaded
* Resource monitoring, remove sensor reading failure warnings

Breaking Changes

* Logger `info`/`error`/`warning`/`console` functions were removed, use `Logger.report_text` (or python logging or print instead)
* Tensorboard scalars are not grouped into one graph, but are stored on individual graphs (to match Tensorboard behavior). To restore previous behavior call `Logger.tensorboard_auto_group_scalars(group_scalars=True)`