Forecasting with sktime — sktime documentation
www.sktime.org › en › v0sktime comes with several forecasting algorithms (or forecasters) and tools for composite model building. All forecaster share a common interface. Forecasters are trained on a single series of data and make forecasts for the provided forecasting horizon. sktime has a number of statistical forecasting algorithms, based on implementations in ...
sktime · PyPI
pypi.org › project › sktimeDec 08, 2021 · sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series ...
sktime/community - Gitter
https://gitter.im/sktime/community?at=5fc2bbd3150b213e98ff09a3@Fleaurent, @mloning, I was in a similar situation.Lots of CSV files will time as a column but univariate data unlike your situation. I converted the CSV to long form (Got the clue on long from the load_data.py file - look for the func generate_example_long_table that should give you a clue to convert your CSV to long form) once you have done that use the func from_long_to_nested to …
sktime · PyPI
https://pypi.org/project/sktime08.12.2021 · sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series ...