Skip to main content

"Microsoft Azure Machine Learning Forecasting Toolkit"

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for azuremlftk, version 0.1.19032.1
Filename, size File type Python version Upload date Hashes
Filename, size azuremlftk-0.1.19032.1-py3-none-any.whl (5.0 MB) File type Wheel Python version py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page