A plugin for the GATE language technology framework for training and using machine learning models. Currently supports Mallet (MaxEnt, NaiveBayes, CRF and others), LibSVM, Scikit-Learn, Weka, and DNNs through Pytorch and Keras.
When trailing or additional spaces are entered in the algorithm parameters field for passing on to the pytorch backend, the backend complains about an unknown parameter which seems to be just a space. Looks as if the splitting and passing would be based on single spaces and a space is getting passed as a separate parameter.
When trailing or additional spaces are entered in the algorithm parameters field for passing on to the pytorch backend, the backend complains about an unknown parameter which seems to be just a space. Looks as if the splitting and passing would be based on single spaces and a space is getting passed as a separate parameter.