embetter
warning
I like to build in public, but please don’t expect anything yet. This is alpha stuff!
notes
Improving Representations via Similarities
The object to implement:
Embetter(multi_output=True, epochs=50, sampling_kwargs)
.fit(X, y)
.fit_sim(X1, X2, y_sim, weights)
.partial_fit(X, y, classes, weights)
.partial_fit_sim(X1, X2, y_sim, weights)
.predict(X)
.predict_proba(X)
.predict_sim(X1, X2)
.transform(X)
.translate_X_y(X, y, classes=none)
Observation: especially when multi_output=True there’s an opportunity with regards to NaN y-values. We can simply choose with values to translate and which to ignore.
