It's occasionally useful to break down the components of a Boost.Python class wrapper in this way, but the rest of this article will stick to the terse syntax. For completeness, here's the wrapped class in use: >>> import hello >>> planet = hello.World() >>> planet.set('howdy...
Specifically, our model employs a hybrid CNN-MLP classifier: the convolutional neural network (CNN) processes semantic features extracted from projects’ abstract syntax trees (ASTs) using Word2vec. In contrast, the traditional features extracted from the dataset repository are processed by a ...