dataPreprocess.py 两个问题

[beathahahaha]

一、
dataPreprocess.py代码，86行，num_train_sample = 10000，这里应该是1000000吧？
否则运行main.py报错IndexError: index 9999 is out of bounds for axis 0 with size 9999

二、
dataPreprocess.py代码的连续值处理的裁剪没有生效，（代码原因），也可以做个测试，修改continous_clip = [20, 600, 100, 50, 64000, 500, 100, 50, 500, 10, 10, 10, 50]，比如为0，会发现生成出来的train.txt中的连续值不会是0，即裁剪未生效

[beathahahaha]

补充说明，main.py中的一个随机采样的问题：建议改写源代码如下
train_data = CriteoDataset('./data', train=True)

split_num = len(train_data) * 0.8
index_list = list(range(len(train_data)))
train_idx, valid_idx = index_list[:split_num], index_list[split_num:]

tr_sampler = sampler.SubsetRandomSampler(train_idx)
val_sampler = sampler.SubsetRandomSampler(valid_idx)

loader_train = DataLoader(train_data, batch_size=100,
sampler=tr_sampler)
#val_data = CriteoDataset('./data', train=True)
loader_val = DataLoader(val_data, batch_size=100,
sampler=val_sampler)

[Amoshen]

补充说明，main.py中的一个随机采样的问题：建议改写源代码如下
train_data = CriteoDataset('./data', train=True)

split_num = len(train_data) * 0.8
index_list = list(range(len(train_data)))
train_idx, valid_idx = index_list[:split_num], index_list[split_num:]

tr_sampler = sampler.SubsetRandomSampler(train_idx)
val_sampler = sampler.SubsetRandomSampler(valid_idx)

loader_train = DataLoader(train_data, batch_size=100,
sampler=tr_sampler)
#val_data = CriteoDataset('./data', train=True)
loader_val = DataLoader(val_data, batch_size=100,
sampler=val_sampler)

I think here should be loader_val = DataLoader(train_data,batch_size.....) not val_data, because val_data is not defined.