Autots

* prevent excessive use of 'CenterSplit' and other macro_micro style transformers
* added ElasticNetwork as subsidiary regression model option
* KalmanSmoothing, BKBandpassFilter added on_inverse option
* add threshold arg to AlignLastValue

* trend_phi directly into Prophet
* subset arg to make KalmanStateSpace more scalable to memory
* bug fixes

* bug fixes
* added DMD model
* modified the `constraints` options so it now accepts of list of dictionaries of constraints with new last_window and slope options
* 'dampening' as a constraint method to dampen all forecasts, fixed Cassandra trend_phi dampening
* new med_diff anomaly method and 'laplace' added as distribution option
* modified fourier_df to now work with sub daily data
* some madness with wavelets attempting to use them like fourier series for seasonality

* bug fixes
* continually trying to keep up with the Pandas maintainers who are breaking stuff for no good reasonable
* updated RollingMeanTransformer and RegressionFilter, RegressionFilter should now be less memory intensive
* EIA data call to load_live_daily
* horizontal_ensemble_validation arg for more complete validation on these ensembles

* assorted minor bug fixes
* bug in mosaic model selection fixed
* added crosshair_lite mosaic

* expanded regressor options for MultivariateRegression, NeuralForecast (currently only available directly, not from AutoTS class)
* matse bug fix on all 0 history