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View Code? Open in Web Editor NEWKaggle's competition for using Google's word2vec package for sentiment analysis
Kaggle's competition for using Google's word2vec package for sentiment analysis
Hi,
Could you add a license to the repository, please?
(More info on licensing here: https://help.github.com/articles/licensing-a-repository/)
I slightly changed the input dataformat, instead of 0 and 1 I replaced with BUY , SELL, HOLD, but I am getting the below exception, can you please tell me whats needs to be changed to train the data with the below format.
id sentiment review
0 SELL Not a good stock don't buy.
1 BUY Looks good , go ahead and buy .
2 HOLD Looks okay.
Training the random forest (this may take a while)...
Traceback (most recent call last):
File "BagOfWords.py", line 81, in
forest = forest.fit( train_data_features, train["sentiment"] )
File "/usr/local/lib/python2.7/dist-packages/sklearn/ensemble/forest.py", line 235, in fit
y, expanded_class_weight = self._validate_y_class_weight(y)
File "/usr/local/lib/python2.7/dist-packages/sklearn/ensemble/forest.py", line 421, in _validate_y_class_weight
check_classification_targets(y)
File "/usr/local/lib/python2.7/dist-packages/sklearn/utils/multiclass.py", line 173, in check_classification_targets
raise ValueError("Unknown label type: %r" % y)
ValueError: Unknown label type: array([[nan],
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