Pyeeglab

Added
* Added new dataset versioning system,
you can work with multiple versions
of the same dataset during creation
* Added new in-Python download system,
you can download a specific version
of the dataset during initialization

Changed
* Refactored dataset indexing system,
a dedicated directory will be created
for the index database during initialization
* Refactored preprocessing cache system,
a dedicated directory will be created
and a faster version for cache coherence
check has been implemented
* Refactored logging system
* Update package requirements
* Update README

Removed
* Deprecated Makefile

Change
* Updated README

Fixed
* HOTFIX Remove incosistent extra channel in TUH EEG Abnormal

Added
* DOI reference link using Zenodo
* dataclass decorator to datadabase tables ORM
* Install instruction for Python 3.6 dataclasses

Changed
* Renamed JoinedPreprocessor to ForkedPreprocessor
* Renamed JoinDataFrames to ToMergedDataframes
* Renamed SinglePickleCache to PickleCache

Removed
* Python 3.6 full support due to dataclass
(workaround: python3.6 -m pip install dataclasses)
* Conda environment.yml configuration file
* ChunksPickleCache cache manager
* VerticalPipeline pipeline executor
* TextMiner textual analysis

Added
* Add min_value and max_value for each file Metadata
* Add min_value and max_value in pipeline environment variables

Changed
* Update MinMaxNormalization and MinMaxCenteredNormalization to min/max value across samples

Fixed
* Environment variables injection in TUH EEG Abnormal dataset

Added
* The CHANGELOG file.
* Initial documentation at https://pyeeglab.readthedocs.io.
* Online code editing by clicking on the GitPod badge in README.
* Travis CI support for multiple os/python configurations, including:
* Ubuntu 16.04 Xenial / Python 3.6.0.
* Ubuntu 18.04 Bionic / Python 3.7.0.
* Ubuntu 18.04 Bionic / Python 3.8.0.
* OSX 10.14 / Python 3.7.4.
* Windows 10 / Python 3.8.0.
* Min-Max zero-centered normalization preprocessor