.fit() instead of .fit_partial() is used, considering cases with input shape (n_samples, n_features). from source code, fit_partial() only receives input shape (n_features, ), while .fit() is just iterating through the input and apply fit_partial() to each sample. in other words, the batch size is always 1 in kitNet, which i think we can definitely try optimizing in the future. :D
.fit() instead of .fit_partial() is used, considering cases with input shape (n_samples, n_features). from source code, fit_partial() only receives input shape (n_features, ), while .fit() is just iterating through the input and apply fit_partial() to each sample. in other words, the batch size is always 1 in kitNet, which i think we can definitely try optimizing in the future. :D