optimizing sigmoid function #989
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piskvorky
reviewed
Nov 1, 2016
| @@ -300,7 +295,7 @@ def train_cbow_pair(model, word, input_word_indices, l1, alpha, learn_vectors=Tr | |||
| if w != word.index: | |||
| word_indices.append(w) | |||
| l2b = model.syn1neg[word_indices] # 2d matrix, k+1 x layer1_size | |||
| fb = sigmoid(dot(l1, l2b.T)) # propagate hidden -> output | |||
| fb = expit(dot(l1, l2b.T)) # propagate hidden -> output | |||
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Is this the only place where inverse logit (expit) is used? Probably worth updating all occurrences, consistently.
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Optimising sigmoid function created in PR #895.