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0

I am doing a naive Bayes classification and using Multinomial NB fit method and passing to it two variables which are pandas series , how to convert the pandas series to the appropriate type that sklearn multinomial NB needs?

This is my python code:

x = ConcatenateWordsSentiments['text']
y = ConcatenateWordsSentiments['label']

from sklearn.model_selection import train_test_split
#split train / test
X_train, X_test, y_train, y_test = train_test_split(xtrain, ytrain, 
test_size=0.33, random_state=42)


from sklearn.naive_bayes import MultinomialNB

nb = MultinomialNB()
nb.fit(X_train, y_train)

Here x ,y , x_train and y_train are pandas series

python

share|improve this question

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

add a comment | 

0

I am doing a naive Bayes classification and using Multinomial NB fit method and passing to it two variables which are pandas series , how to convert the pandas series to the appropriate type that sklearn multinomial NB needs?

This is my python code:

x = ConcatenateWordsSentiments['text']
y = ConcatenateWordsSentiments['label']

from sklearn.model_selection import train_test_split
#split train / test
X_train, X_test, y_train, y_test = train_test_split(xtrain, ytrain, 
test_size=0.33, random_state=42)


from sklearn.naive_bayes import MultinomialNB

nb = MultinomialNB()
nb.fit(X_train, y_train)

Here x ,y , x_train and y_train are pandas series

python

share|improve this question

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

add a comment | 

I am doing a naive Bayes classification and using Multinomial NB fit method and passing to it two variables which are pandas series , how to convert the pandas series to the appropriate type that sklearn multinomial NB needs?

This is my python code:

x = ConcatenateWordsSentiments['text']
y = ConcatenateWordsSentiments['label']

from sklearn.model_selection import train_test_split
#split train / test
X_train, X_test, y_train, y_test = train_test_split(xtrain, ytrain, 
test_size=0.33, random_state=42)


from sklearn.naive_bayes import MultinomialNB

nb = MultinomialNB()
nb.fit(X_train, y_train)

Here x ,y , x_train and y_train are pandas series

python

share|improve this question

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

x = ConcatenateWordsSentiments['text']
y = ConcatenateWordsSentiments['label']

from sklearn.model_selection import train_test_split
#split train / test
X_train, X_test, y_train, y_test = train_test_split(xtrain, ytrain, 
test_size=0.33, random_state=42)


from sklearn.naive_bayes import MultinomialNB

nb = MultinomialNB()
nb.fit(X_train, y_train)

share|improve this question

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

share|improve this question

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

asked Mar 23 at 8:49

TrafeFPTrafeFP

32

asked Mar 23 at 8:49

TrafeFPTrafeFP

32