Hello everyone, I'm quite new to python and snorkel so it would be helpful if someone can tell me how to solve this issue. I'm working on a problem similar to the spam detection problem provided in the snorkel documentation and I'm following the same steps. I have a training set of about 1000 samples (A pandas df with a single column 'data' containing the text data to be classified) and I've created a set of regex based LF's which are working fine.
An example of the LF is used was:
@labeling_function()
def PIIemailPass(data):
return LEAK if re.search(r'[a-zA-Z0-9.+-]+@[a-zA-Z0-9-]+.[a-zA-Z0-9-.]+[*:]+[\w+]', data) else ABSTAIN
But when I try using the following lines of code after I create my LF's
applier = PandasLFApplier(lfs)
L_train = applier.apply(df=df_train)
I get an error ('expected string or bytes-like object', 'occurred at index 0'). Can someone help me with this problem.
Hello everyone, I'm quite new to python and snorkel so it would be helpful if someone can tell me how to solve this issue. I'm working on a problem similar to the spam detection problem provided in the snorkel documentation and I'm following the same steps. I have a training set of about 1000 samples (A pandas df with a single column 'data' containing the text data to be classified) and I've created a set of regex based LF's which are working fine. An example of the LF is used was:
@labeling_function() def PIIemailPass(data): return LEAK if re.search(r'[a-zA-Z0-9.+-]+@[a-zA-Z0-9-]+.[a-zA-Z0-9-.]+[*:]+[\w+]', data) else ABSTAIN
But when I try using the following lines of code after I create my LF's applier = PandasLFApplier(lfs) L_train = applier.apply(df=df_train) I get an error ('expected string or bytes-like object', 'occurred at index 0'). Can someone help me with this problem.