I'm trying to run a simple linear regression of in sklearn. I have a Pandas dataframe with two columns, "Likes" and "Attendance" Both columns have 18 samples.
lr = LinearRegression()
lr.fit(Likes,Attendance)
I get the following error:
C:\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample. DeprecationWarning)
...
ValueError: Found arrays with inconsistent numbers of samples: [ 1 18]
Even after I reshaped the data using Likes.reshape(-1, 1), I got the same error.
Can anyone help?
You have a single feature in your data, therefore (as suggested in the error you posted) "Reshape your data ... using X.reshape(-1, 1)".
lr = LinearRegression()
lr.fit(X=Likes.reshape(-1, 1), y=Attendance)
I see that you tried this. Does my code above not work?
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