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timeseriesAI/tsai
#947Labels
enhancementAdding new functionalityAdding new functionalitygood first issueGood for newcomersGood for newcomersinterfacing algorithmsInterfacing existing algorithms/estimators from third party packagesInterfacing existing algorithms/estimators from third party packagesmodule:classificationclassification module: time series classificationclassification module: time series classificationmodule:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting
Description
tsai
is an excellent package for deep learning models for time series, mostly for time series classification, but some also for forecasting.
https://github.com/timeseriesAI/tsai
It has a unified interface to these, so it should be easy to interface these from sktime
. Possibly, even _DelegatedClassifier
or _DelegatedForecaster
might be used.
As a recipe, I think different classifiers should be different classes; obviously, we also want to credit the authors of the individual classifiers, with their GitHub names, in the "authors"
tag - these can be gleaned from the commit history.
FYI @oguiza, it would be great to collaborate on this! Ref issue on tsai
: timeseriesAI/tsai#931
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enhancementAdding new functionalityAdding new functionalitygood first issueGood for newcomersGood for newcomersinterfacing algorithmsInterfacing existing algorithms/estimators from third party packagesInterfacing existing algorithms/estimators from third party packagesmodule:classificationclassification module: time series classificationclassification module: time series classificationmodule:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting