alshedivat / alshedivat/adios

Results on delicious

未關閉
#3 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
主要語言
Python
星號
6
分支
5
PR 合併指標
30 天內沒有已合併 PR

描述

Thanks for open sourcing the concise code. I have been trying to reproduce the results of the delicious dataset. I have pulled the repository and after doing the changes in [y3nk0](https://github.com/y3nk0/Multi-label-with-Deep-Learning) repo for keras and setting labels_order as delicious. I run the adios_train.py file but I am getting only 57.62 opposed to ~69 P@1 score. Is there anything else that I need to do to get those numbers. Thanks!

貢獻指南

這個儲存庫沒有索引到貢獻指南

評估

這個 Issue 還沒有評估資料。

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。