Autots

* 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

* bug fixes, robust for OpenBLAS nan handling kernel failures
* added BKBandpassFilter
* added expand_horizontal for scaling mosaics

* Cassandra bug fix
* isolated_only to anomaly methods
* matse metric is possibly temporary and not added to per series weighting options
* added HistoricValues transformer