pmdarima 1.7.0 on Python PyPI

v1.7.0

Address issue #341 where a combination of a large m value and D value could difference an array into
being too small to test stationarity in the ADF test
Fix issue #351 where a large value of m could prevent the seasonality test from completing.
Fix issue #354 where models with near non-invertible roots could still be considered as candidate best-fits.
Remove legacy pickling behavior that separates the statsmodels object from the pmdarima
object. This breaks backwards compatibility with versions pre-1.2.0.
Change default with_intercept in pmdarima.arima.auto_arima to 'auto' rather than
True. This will behave much like the current behavior, where a truthiness check will still return
True, but allows the stepwise search to selectively change it to False in the presence of certain
differencing conditions.
Inverse endog transformation is now supported when return_conf_int=True on pipeline predictions
Fix a bug where the pmdarima.model_selection.SlidingWindowForecastCV could produce
too few splits for the given input data.
Permit custom scoring metrics to be passed for out-of-sample scoring, as requested in #368