siddsax / xml-cnn Goto Github PK

The output topK's K is fixed now.

Do you think training a classifier to predict the value of K for every input is a good solution?

Thank you very much.

Hi siddsax,

I wanna ask about the pooling layer because you're using a sliding max pooling. XML-CNN use dynamic max pooling with the definition "For a p document with m words, we evenly divide its m-dimensional feature map into p chunks, each chunk is pooled to a single feature by taking the largest value within that chunk".

Saving Model to: Gen_data_CNN_Z_dim-100_mb_size-20_hidden_dims-512_preproc-0_loss-BCELoss_sequence_length-500_embedding_dim-300_params.vocab_size=30000
Traceback (most recent call last):
File "main.py", line 57, in
x_tr, x_te, y_tr, y_te, params.vocabulary, params.vocabulary_inv, params = save_load_data(params, save=params.load_data)
File "../utils\futils.py", line 153, in save_load_data
x_tr = sparse.load_npz(params.data_path + '/x_train.npz')
File "C:\Users\dc\anaconda\envs\riya\lib\site-packages\scipy\sparse_matrix_io.py", line 131, in load_npz
with np.load(file, **PICKLE_KWARGS) as loaded:
File "C:\Users\dc\anaconda\envs\riya\lib\site-packages\numpy\lib\npyio.py", line 415, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: '../datasets/rcv/x_train.npz'

Hi, when I got into the link of the RCV dataset, I found "404 not found", could you provide another link of the RCV dataset? If possible could you provide other datasets in your paper. It's a little hard for me to understand the code without the dataset. Thank you very much!

Hi there,

I am interested in trying XML-CNN on my own dataset. I have collection of documents, and their labels. Could you please help me understand how I can feed it to your tool? Or, if you provide me samples, that would also be helpful. I tried to go through the RCV file you mentioned in the README file, but it's not really clear. Thanks.

Hello, I want to run XML-CNN on several benchmark, but i don't know how to deal with data, can you provide the script you use for data preprocessing in WIKI31K , AMAZON and others, and the downloading source of dataset?
Thanks~