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In PyMARE, fit and fit_dataset both return Estimators, rather than Results. Instead, there's an additional step of calling Estimator.summary() to produce the Results object. This is different from NiMARE, where fitting an Estimator returns a MetaResult.
I don't know if the extra step is necessary. I.e., does fit returning an Estimator instead of a Result serve a purpose?
The text was updated successfully, but these errors were encountered:
Actually, for the sake of scikit-learn styling, what if we instead merged fit and fit_dataset, and then had fit (returns fitted Estimator), fit_transform (returns Results), and transform (returns Results)?
In PyMARE,
fit
andfit_dataset
both return Estimators, rather than Results. Instead, there's an additional step of callingEstimator.summary()
to produce the Results object. This is different from NiMARE, where fitting an Estimator returns a MetaResult.I don't know if the extra step is necessary. I.e., does
fit
returning an Estimator instead of a Result serve a purpose?The text was updated successfully, but these errors were encountered: