Version 1.8.3 Release Candidate 0

• Fixes #440
• Test new Circle CI deployment

Version 1.8.2

Version 1.8.2

• Change numpy pin to ~=1.19.0 to avoid incompatibility issues, addressing #423

Version 1.8.2-RC3

Version 1.8.2-RC3

• Change numpy pin to be ~=1.19.0 to avoid incompatibility issues

Version 1.8.2-RC1

Version 1.8.2-RC1

• Change numpy pin to be ~=1.19 to avoid incompatibility issues

Version 1.8.2-RC2

Version 1.8.1-RC2

• Change numpy pin to be ~=1.19.0 to avoid incompatibility issues

Version 1.8.1

Version 1.8.1

• Address issue 370 where iterables were not accepted in the ARIMA order.

• Address issue 407 where the LogEndogTransformer could not be cloned in a pipeline.

• No longer pin Cython to <0.29.18

• Add support for Python 3.9

Version 1.8.0

Version 1.8.0

• Wheels are no longer built for pmdarima on Python <3.6, and backward-compatibility is no longer guaranteed for older python versions.

• The exogenous argument has been deprecated in favor of X - See the RFC and the PR for more information. Beginning in version 2.0, the exogenous argument will raise an error.

• Migrate random searches into the auto-solvers interface

• Random searches now perform unit root tests to prevent models with near non-invertible parameters

• The default value of suppress_warnings has changed to True. The primary reason for this is that most warnings emitted come from unit root tests, which are very noisy. DeprecationWarnings and other warnings generated from user input will still be emitted.

• Move ModelFitWarning from pmdarima.arima.warnings to pmdarima.warnings

• Fix a bug where the pmdarima.model_selection.RollingForecastCV could produce too few splits for the given input data.

• Change pin for setuptools from <50.0.0 to !=50.0.0, addressing #401

• Change pin for statsmodels from <0.12.0 to !=0.12.0, addressing #376

Version 1.7.1

Version 1.7.1

• Pins statsmodels <0.12 to get around single-step forecasts with an exog array
• Fixes new issues introduced by latest setuptools
• Deprecate Python 3.5 support, which will be removed in the next release cycle

Version 1.7.0

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

Version 1.6.1

• Pin Cython to be >=0.29,<0.29.18
• Pin statsmodels to be >=0.11