Gama

Features:
70: Exported code is now auto-formatted with Black.
- The Dashboard now has an Analysis tab that allows you to load old log files.
- The Dashboard Home tab allows you to view the data set.
- The Dashboard Home tab allows you to select a target column.
- Pipelines and estimators are now cached on disk again.
- KNN and PolynomialFeatures are now dynamically disabled based on dataset size.

Maintenance:
- Docs are automatically built and deployed on a commit to master and develop.
- Pre-commit configuration added to check formatting, style and type hints on commit.
- Black codestyle adapted, most drastic change is line length from 120 to 88.
- Coverage increased by removing unused code, updating configuration, adding tests.
- Memory usage of all GAMA's processes is logged.

Add a ``goal`` hyperparameter that can be used to let GAMA configure the AutoML hyperparameter based on user intent.

Bugfixes:
- `predict_proba_arff` now also accepts a `target_column` as expected from the previous update.

-----------------

Features:
- `gama.__version__` can now be used to retrieve gama's version.
- `fit_arff`, `score_arff` and `predict_arff` now accept a `target_column` parameter to specify the target.
If left unset, the last column of the ARFF file is assumed to be the target column.

Bugfixes:
- fit(x, y) may now be called with y as (N,1) array.
- ensemble post-processing is now compatible with non-zero indexed class labels

Maintenance:
- `__version__.py` is now the only place with hard-coded version.

This is the first release of 2019. Decided to go with [YY.0M.MICRO](https://calver.org/) format for versioning.
Reason: Creating a release for archiving through zenodo for the JOSS paper.
Changes: No previous release.