• Support newest versions of matplotlib
• Add new level of auto_arima error actions: "trace" which will warn for errors while dumping the original stacktrace.
• New featurizer: pmdarima.preprocessing.DateFeaturizer. This can be used to create dummy and ordinal exogenous features and is useful when modeling pseudo-seasonal trends or time series with holes in them.
• Removes first-party conda distributions (see #326)
• Raise a ValueError in arima.predict_in_sample when start < d