darriusl / cochelab Goto Github PK

您好，非常抱歉打扰，请问'./data/datasets/meta/appliances/Appliances.json'这个包是从哪里进行获取的，非常感谢！

Hi,
Thank you for your amazing efforts. I've been trying to replicate the results of the paper titled "PSAC: Proactive Sequence-Aware Content Caching via Deep Learning at the Network Edge" using your code. Unfortunately, I am facing challenges in achieving the results described in the paper. Specifically, the results from the Psac_gen framework in your code significantly differ from the Qoe_score mentioned paper. Could you provide any guidance or updates that might assist in accurately replicating the results?

Sincerely,

Thanks for your code! It's fantastic. Is it possible to consider adding traditional caching schemes like FIFO, LRU, and LFU for better performance comparisons?

Hi,
I have created a Python environment and tried to execute it. I am getting the following error:

[2023-12-25 06:53:52,044]-[INFO - lib.callback]
Processing ./data/datasets/meta/ml-1m/ratings.dat ...
Traceback (most recent call last):
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\executor.py", line 30, in
run_pcr(cfg = dp_cfg);
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\data\generator.py", line 89, in run_pcr
dataset = ml_generate(dp_cfg['src'])
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\data\generator.py", line 47, in ml_generate
mldataset = pcr.ml_pcr(src = src);
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\data\processor.py", line 170, in
ml_pcr
ml = np.loadtxt(src, dtype = int, usecols = (0, 1, 3));
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\myvenv\Lib\site-packages\numpy\lib\npyio.py", line 1373, in loadtxt
arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\saeed\Downloads\CoCheLab-main\CoCheLab-main\myvenv\Lib\site-packages\numpy\lib\npyio.py", line 1016, in _read
arr = _load_from_filelike(
^^^^^^^^^^^^^^^^^^^^
ValueError: could not convert string '1::1193::5::978300760' to int32 at row 0, column 1.