pmdarima 1.5.0

Version 1.5.0

on Python PyPI

No longer use statsmodels' ARIMA or ARMA class under the hood; only use
the SARIMAX model, which cuts back on a lot of errors/warnings we saw in the past.
(#211)

Defaults in the ARIMA class that have changed as a result of #211:

• maxiter is now 50 (was None)
• method is now 'lbfgs' (was None)
• seasonal_order is now (0, 0, 0, 0) (was None)
• max_order is now 5 (was 10) and is no longer used as a constraint when stepwise=True

Correct bug where aicc always added 1 (for constant) to degrees of freedom,
even when df_model accounted for the constant term.

New pmdarima.arima.auto.StepwiseContext feature for more control over
fit duration (introduced by @kpsunkara in #221.

Adds the pmdarima.preprocessing.LogEndogTransformer class as discussed in
#205

Exogenous arrays are no longer cast to numpy array by default, and will pass pandas
frames through to the model. This keeps variable names intact in the summary #222

Added the prefix param to exogenous featurizers to allow the addition of meaningful
names to engineered features.

Added polyroot test of near non-invertibility when stepwise=True. For
models that are near non-invertible will be deprioritized in model selection
as requested in #208

Removes pmdarima.arima.ARIMA.add_new_samples, which was previously deprecated.
Use pmdarima.arima.ARIMA.update instead.

The following args have been deprecated from the pmdarima.arima.ARIMA class
as well as pmdarima.arima.auto_arima and any other calling methods/classes:

• disp^[1]
• callback^[1]
• transparams
• solver
• typ

[1] These can still be passed to the fit method via **fit_kwargs, but should
no longer be passed to the model constructor.

Added diff_inv function that is in parity with R's implementation, as requested in #180

Added decompose function that is in parity with R's implementation,
as requested in #190