AttributeError: split not found

[WithIbadKhan]

Issue description

In the logistic regression model when I run code i face Attribute erorr.
A clear and concise description of what the bug is.

Code example/repro steps

from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import TfidfVectorizer



tfidf = TfidfVectorizer(strip_accents=None,
                        lowercase=False,
                        preprocessor=None)

param_grid = [{'vect__ngram_range': [(1, 1)],
               'vect__stop_words': [stop_words, None],
               'vect__tokenizer': [tokenizer, tokenizer_porter],
               'vect__preprocessor': [None, preprocessor],
               'clf__penalty': ['l1', 'l2'],
               'clf__C': [1.0, 10.0, 100.0]},
              {'vect__ngram_range': [(1,1)],
               'vect__stop_words': [stop_words, None],
               'vect__tokenizer': [tokenizer, tokenizer_porter],
               'vect__preprocessor': [None, preprocessor],
               'vect__use_idf':[False],
               'vect__norm':[None],
               'clf__penalty': ['l1', 'l2'],
               'clf__C': [1.0, 10.0, 100.0]},
              ]

lr_tfidf = Pipeline([('vect', tfidf),
                     ('clf', LogisticRegression(random_state=0))])
#The parameters of the estimator used to apply these methods are optimized by cross-validated grid-search over a parameter grid
gs_lr_tfidf = GridSearchCV(lr_tfidf, param_grid,
                           scoring='accuracy',
                           cv=5,
                           verbose=1,
                           n_jobs=-1)
gs_lr_tfidf.fit(X_train, y_train)

after run this code I face the split not found error.
Please try to provide a minimal example to repro the bug.
Error messages and stack traces are also helpful.

AttributeError: split not found

[bhancock8]

@humzaiqbal would you take a look?

[github-actions]

This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 7 days.

[humzaiqbal]

Hi @WithIbadKhan,

To make sure I understand correctly are you trying to use Snorkel and somewhere in the process getting this issue? From the code snippet you've posted this seems to be an issue with the Scikit-learn library you are using rather than a Snorkel issue? If thats not the case and you are using Snorkel code adding that to the code snippet would help a lot for triaging.

Thanks!