Autots

Latest
* fix verbose > 2 error in auto_model
* use of f-strings to print some error messages. Python 3.5 may see more complicated error messages as a result.
* improved BestN (formery Best3) Ensembles, ensemble collected in dicts
* made Horizontal and BestN ensembles tolerant of a component model failure
* made Horizontal models capable of generalizing from a subset of series
* added info to model table for models that can use future_regressor
* added Datepart Regression model, sklearn regressor on time components only

Latest
* fix error where wide data import skipped cleaning steps
* long=True/False for all example data

Latest
* ARIMA to ARIMAX (for Statsmodels v0.13)
* ARIMA parallelization
* update of daily sample data, reduced space used by yearly and hourly
* n_jobs = 'auto'
* models table to extended_tutorial.md

Latest
* Added n_jobs parameters to pass through to joblib (although a joblib context manager is perhaps the best way)
* Added joblib multiprocessing to ETS, GLM, and FBProphet
* Fixed future warnings with pandas.DatetimeIndex.week and changes to statsmodels ETS
* standardized source code formatting

Latest:
* `grouping`/hierarchial reconciliation to GeneralTransformer
* allow wide-style data as input
* iterative imputer
* allow a list of intervals to prediction_intervals in .predict()

* added 'coerce_integer' to GeneralTransformer
* various minor performance improvements