You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I was wondering whether you would consider integrating with sktime or pytorch-forecasting?
To me, it seems like most of tsai is to sktime.classification what pytorch-forecasting is to sktime.forecasting.
You also have forecasting models, which is an intersection with pytorch-forecasting.
That is, we could talk about:
interfacing the tsai classifiers as sktime classifiers. They would remain in tsai and you would be credited as authors, see for instance the estimator overview: https://www.sktime.net/en/latest/estimator_overview.html - this would give tsai more exposure, especially since you seem to have the largest array of deep learning classifiers.
Great package!
I was wondering whether you would consider integrating with
sktime
orpytorch-forecasting
?To me, it seems like most of
tsai
is tosktime.classification
whatpytorch-forecasting
is tosktime.forecasting
.You also have forecasting models, which is an intersection with
pytorch-forecasting
.That is, we could talk about:
tsai
classifiers assktime
classifiers. They would remain intsai
and you would be credited as authors, see for instance the estimator overview: https://www.sktime.net/en/latest/estimator_overview.html - this would givetsai
more exposure, especially since you seem to have the largest array of deep learning classifiers.pytorch-forecasting
: [API] Redesign towards pytorch-forecasting 2.0 sktime/pytorch-forecasting#1736sktime
issue opened: sktime/sktime#7885pytorch-forecasting
issue opened: sktime/pytorch-forecasting#1779The text was updated successfully, but these errors were encountered: