Whereas in NLP taks, I have seen some articles on Text summarization using LSTM encoder-decoder with Attention model and I usually come across this code for fitting the model which I'm not able to comprehend: model.fit([x_tr,y_tr[:,:-1]], y_tr.reshape(y_tr.shape...
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection Death by Round Numbers: Glass-Box Machine Learning Uncovers Biases in Medical Practice Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines Interpretable machine learning for...
In the beginning machines learned in darkness, and data scientists struggled in the void to explain them. Let there be light. InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train inter...
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection Death by Round Numbers: Glass-Box Machine Learning Uncovers Biases in Medical Practice Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines Interpretable machine learning for...