Hi,
Thanks for sharing your work. I trained a supervised model and while testing the model, on certain inputs(mostly single or double words), getting the below errors.
et_model.predict('hiii',k=8)
else:
138 text = check(text)
--> 139 pairs = self.x.predict(text, k, threshold)
140 probs, labels = zip(*pairs) if len(pairs) else ([], [])
141 return labels, np.array(probs, copy=False)
RuntimeError: Encountered NaN. ```
Hi,
Thanks for sharing your work. I trained a supervised model and while testing the model, on certain inputs(mostly single or double words), getting the below errors.