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Useful for retaining the other parts of the ml pipeline without running tpot.
This adapter's init should take in a model object implementing fit and predict methods (or if you can figure out a way to do it with models not having these methods, that's fine too) and running it should fit/predict that single model (e.g., RandomForestRegressor) in a way analogous to TPOTAdaptor.
The text was updated successfully, but these errors were encountered:
Useful for retaining the other parts of the ml pipeline without running tpot.
This adapter's init should take in a model object implementing fit and predict methods (or if you can figure out a way to do it with models not having these methods, that's fine too) and running it should fit/predict that single model (e.g., RandomForestRegressor) in a way analogous to TPOTAdaptor.
The text was updated successfully, but these errors were encountered: