Runningtime Warning appears when using own dataset to build graph
ZihanChen1995 opened this issue · 2 comments
ZihanChen1995 commented
您好,我在尝试使用自己的dataset进行第二步: build_graph.py
时,报了两个warning:
- RuntimeWarning: invalid value encountered in double_scalars
build_graph.py:255: RuntimeWarning: invalid value encountered in double_scalars
data_x.append(doc_vec[j] / doc_len) # doc_vec[j]/ doc_len
[[1 0]
[1 0]
[0 1]
...
[1 0]
[1 0]
[0 1]]
build_graph.py:293: RuntimeWarning: invalid value encountered in double_scalars
data_tx.append(doc_vec[j] / doc_len) # doc_vec[j] / doc_len
[[0 1]
[1 0]
[1 0]
...
- tcmalloc: large alloc
tcmalloc: large alloc 1342185472 bytes == 0x10d97c000 @ 0x7f8c290341e7 0x5ab685 0x569c94 0x56b303 0x50ca54 0x507d64 0x50ae13 0x634c82 0x634d37 0x6384ef 0x639091 0x4b0d00 0x7f8c28c31b97 0x5b250a
请问一下引起这个问题的原因是我的数据集过大吗?他会对模型训练的效果产生影响吗?
另外能否请教下,对于unblanced data的分类问题,对于提升text_gcn的表现您有什么建议吗?
谢谢!!
yao8839836 commented
ZihanChen1995 commented
谢谢您的回复,我尝试一下您说的提升权重的方法。谢谢!