thucnt

How to infer topics distribution for new documents

3

I ran all your code successfully. In explore_trained_model.ipynb, I see that you get prediction results for trained documents. However, I want to infer topics distribution for new documents. Please tell...

I run python train.py and get error with File "../utils/alias_multinomial.py", line 57

13

Traceback (most recent call last): File "train.py", line 36, in main() File "train.py", line 32, in main save_every=20, grad_clip=5.0 File "../utils/training.py", line 127, in train neg_loss, dirichlet_loss = model(doc_indices, pivot_words,...

Run doc2vec raise errors

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I installed all in requirement.txt but when i run it raise this error: TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type int32 of argument...

NameError: name 'Graph2Vec' is not defined

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I installed graph2vec successfully but I cannot use it >>> import graph2vec.trainer >>> graph2vec = Graph2Vec(vector_dimensions=128) Traceback (most recent call last): File "", line 1, in NameError: name 'Graph2Vec' is...