Currently, we throw errors at runtime if .predict is called on an unfitted estimator, conversely, we throw an error if .fit is called on a trained estimator. The idea of this issue is that such mistakes should be caught at compile time rather than runtime.
Currently, we throw errors at runtime if
.predict
is called on an unfitted estimator, conversely, we throw an error if.fit
is called on a trained estimator. The idea of this issue is that such mistakes should be caught at compile time rather than runtime.