ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

[marianafdz465]

Hi, I am trying to run this code

#initiate deduplication
df_final = pandas_dedupe.dedupe_dataframe(df1,['name', 'address1'])

#send output to csv
df_final.to_csv('deduplication_output.csv')

My data frame has 143 rows, and I found 3 duplicated rows. But when I tried to run this, I got this error:

7 fits failed with the following error:
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/sklearn/model_selection/_validation.py", line 680, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py", line 1558, in fit
    % classes_[0]
ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

  warnings.warn(some_fits_failed_message, FitFailedWarning)
/usr/local/lib/python3.7/dist-packages/sklearn/model_selection/_search.py:972: UserWarning: One or more of the test scores are non-finite: [nan nan nan nan nan nan nan]
  category=UserWarning,
Clustering...
# duplicate sets 143