An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
In GensimFastText predicting more documents is a sequence of prediction calls. It would be preferable to implement as deeply as possible in the core (i.e. matrix computations in Cython) the computations of multiple inputs.
In GensimFastText predicting more documents is a sequence of prediction calls. It would be preferable to implement as deeply as possible in the core (i.e. matrix computations in Cython) the computations of multiple inputs.