akshaytheau / data-science Goto Github PK

ValueError Traceback (most recent call last)
in
7 ('clf', LogisticRegression()),
8 ])
----> 9 naivebayes.fit(X_train,y_train)
10
11 y_pred1=naivebayes.predict(X_test)

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/sklearn/pipeline.py in fit(self, X, y, **fit_params)
328 """
329 fit_params_steps = self._check_fit_params(**fit_params)
--> 330 Xt = self._fit(X, y, **fit_params_steps)
331 with _print_elapsed_time('Pipeline',
332 self._log_message(len(self.steps) - 1)):

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/sklearn/pipeline.py in _fit(self, X, y, **fit_params_steps)
294 message_clsname='Pipeline',
295 message=self._log_message(step_idx),
--> 296 **fit_params_steps[name])
297 # Replace the transformer of the step with the fitted
298 # transformer. This is necessary when loading the transformer

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/joblib/memory.py in call(self, *args, **kwargs)
350
351 def call(self, *args, **kwargs):
--> 352 return self.func(*args, **kwargs)
353
354 def call_and_shelve(self, *args, **kwargs):

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/sklearn/pipeline.py in _fit_transform_one(transformer, X, y, weight, message_clsname, message, **fit_params)
738 with _print_elapsed_time(message_clsname, message):
739 if hasattr(transformer, 'fit_transform'):
--> 740 res = transformer.fit_transform(X, y, **fit_params)
741 else:
742 res = transformer.fit(X, y, **fit_params).transform(X)

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/sklearn/feature_extraction/text.py in fit_transform(self, raw_documents, y)
1197
1198 vocabulary, X = self.count_vocab(raw_documents,
-> 1199 self.fixed_vocabulary)
1200
1201 if self.binary:

/opt/anaconda3/envs/tensorflow/lib/python3.6/site-packages/sklearn/feature_extraction/text.py in _count_vocab(self, raw_documents, fixed_vocab)
1127 vocabulary = dict(vocabulary)
1128 if not vocabulary:
-> 1129 raise ValueError("empty vocabulary; perhaps the documents only"
1130 " contain stop words")
1131

ValueError: empty vocabulary; perhaps the documents only contain stop words