Modeltime 1.1.0

Spark Backend

• Modeltime now has a Spark Backend

• NEW Vignette - Modeltime Spark Backend describing how to set up Modeltime with the Spark Backend.

New Algorithms: Smooth Package Integration

If users install smooth, the following models become available:

• adam_reg(): Interfaces with the ADAM forecasting algorithm in smooth.

• exp_smoothing(): A new engine "smooth_es" connects to the Exponential Smoothing algorithm in smooth::es(). This algorithm has several advantages, most importantly that it can use x-regs (unlike "ets" engine).

Nested Modeltime Improvements

• New extractor: extract_nested_modeltime_table() - Extracts a nested modeltime table by row id.

Breaking Changes (potentially)

• extract_nested_train_split and extract_nested_test_split: Changed parameter from .data to .object for consistency with other "extract" functions

• Added a new logged feature to modeltime_nested_fit() to track the attribute "metric_set", which is needed for ensembles. Old nested modeltime objects will need to be re-run to get this new attribute. This will be used in ensembles.