Susi

------------------------
- [ADDED] Documentation of the hyperparameters.
- [ADDED] Plot scripts.
- [CHANGED] Structure of the module files.

------------------------
- [FIXED] Replaced scikit-learn `sklearn.utils.fixes.parallel_helper`, see 12.

------------------------
- [ADDED] Optional tqdm visualization of the SOM training
- [ADDED] New `init_mode_supervised` called `random_minmax`.
- [CHANGED] Official name of package changes from `SUSI` to `SuSi`.
- [CHANGED] Docstrings for functions are now according to guidelines.
- [FIXED] Semi-supervised classification handling, sample weights
- [FIXED] Supervised classification SOM initalization of `n_iter_supervised`
- [FIXED] Code refactored according to prospector
- [FIXED] Resolved bug in `get_datapoints_from_node()` for unsupervised SOM.

------------------------
- [ADDED] Semi-supervised abilities for classifier and regressor
- [ADDED] Example notebooks for semi-supervised applications
- [ADDED] Tests for example notebooks
- [CHANGED] Requirements for the SuSi package
- [REMOVED] Support for Python 3.4
- [FIXED] Code looks better in documentation with sphinx.ext.napoleon

------------------------
- [ADDED] PCA initialization of the SOM weights with 2 principal components
- [ADDED] Variable variance
- [CHANGED] Moved installation guidelines and examples to documentation

------------------------
- [ADDED] Batch algorithm for unsupervised and supervised SOM
- [ADDED] Calculation of the unified distance matrix (u-matrix)
- [FIXED] Added estimator_check of scikit-learn and fixed recognized issues