semvec/pypi-packages huggingface dataset:
azuremlftk 0.1.19032.1
"Microsoft Azure Machine Learning Forecasting Toolkit"
Requires Python: <3.7

Azuremlftk is the Azure ML Package for Forecasting, a library of models, data transforms and evaluators common in forecasting scenarios.

Some of the things it provides:
* data imputation transforms
* rolling window and lagging/leading transforms
* timestamp featurization
* validators for doing cross-validation correctly with time series
* standard "univariate" models" like ARIMA, ETS and Seasonal Naive
* forecasting models that seamlessly convert forecasting to regression and accept external regressors
* grouping multiple time series to learn a single model

All models and transforms are presented with uniform scikit-like interfaces.

Reference documentation https://azuremlpackages.blob.core.windows.net/forecasting/release1902/documentation/index.html

Sample notebooks https://github.com/Azure-Samples/MachineLearningSamples-Notebooks/tree/master/domain-packages/forecasting