semantic analysis

[prerana333]

Y = train_df['is_duplicate']
I do not understand this part of the code in train.py

[prerana333]

---

KeyError Traceback (most recent call last)
/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2656 try:
-> 2657 return self._engine.get_loc(key)
2658 except KeyError:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'is_duplicate'

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last)
in
11
12 X = df[['text1_n', 'text2_n']]
---> 13 Y = df['is_duplicate']
14
15 X_train, X_validation, Y_train, Y_validation = train_test_split(X, Y, test_size=validation_size)

/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in getitem(self, key)
2925 if self.columns.nlevels > 1:
2926 return self._getitem_multilevel(key)
-> 2927 indexer = self.columns.get_loc(key)
2928 if is_integer(indexer):
2929 indexer = [indexer]

/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2657 return self._engine.get_loc(key)
2658 except KeyError:
-> 2659 return self._engine.get_loc(self._maybe_cast_indexer(key))
2660 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
2661 if indexer.ndim > 1 or indexer.size > 1:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'is_duplicate'

[viv1729]

Y = train_df['is_duplicate']

This is assigning all the labels/predictions to the Y

You are getting error: because maybe your dataframe df doesn't have the 'is_duplicate' column.

Run: train_df.head() to see if the column is present
Can also this check via: df.columns

See the image: