Version 2.0.4

• Add support for Python 3.12

Version 2.0.3

• Fix a bug when generating permutations using numpy>=1.24.0. See #534
• Fix a bug in transform when using scikit-learn>=1.2.0, addressing #539

Version 2.0.2

Add support for Python 3.11

Version 2.0.2-RC1

Pre-release for version 2.0.2, including Python 3.11 support.

Version 2.0.1

• Add support for macOS with M1 chip

Version 2.0.1-RC1

• Add support for macOS with M1 chip

Version 2.0.0

Potentially breaking changes:

• Use of the exogenous keyword (deprecated in 1.8.0) will now raise a TypeError
  • Use of the sarimax_kwargs keyword (deprecated in 1.5.1) will now raise a TypeError
  • A falsey value for ARIMA's method argument (deprecated pre-1.5.0) will now raise a ValueError
  • A falsey value for ARIMA's maxiter argument will now raise a ValueError (warning since 1.5.0)
  • pmdarima is no longer built for 32-bit architectures
  • macOS images are built using macOS 11 instead of macOS 10.15

Other changes:

• Bump numpy dependency to >= 1.21
• Expose fittedvalues in the public API. See #493
• Add support for ARM64 architecture. See #434
• Introduce new arg, preserve_series, to pmdarima.utils.check_endog that will preserve or squeeze a Pandas Series object to preserve index information.
• Update Cython pinned version to include !=0.29.31

Version 1.8.5

• Add support for Python 3.10
• Remove support for Python 3.6 (EOL: 23 Dec 2021)

Version 1.8.4

Version 1.8.4

• Add compatibility for statsmodels 0.13 and higher

Version 1.8.3

Version 1.8.3

• Fix a bug in tsdisplay where a value of lag_max larger than the length of the series would create a cryptic numpy broadcasting error. This precondition will still cause an error, but now it is one the user can better understand. See #440

• Change numpy pin to numpy>=1.19.3 (and build on lowest supported version) to no longer limit users' NumPy versions. This addresses #449

• Fix a bug where scikit-learn version 1.0.0 was raising ValueError when calling if_delegate_has_method, addressing #454