Sci-kit Learn: Reshape Your Data Either Using X.reshape(-1, 1)

I'm training a python (2.7.11) classifier for text classification and while running I'm getting a deprecated warning message that I don't know which line in my code is causing it!

Solution 1:

Your 'vec' input into your clf.fit(vec,l).fit needs to be of type [[]], not just []. This is a quirk that I always forget when I fit models.

Just adding an extra set of square brackets should do the trick!

Solution 2:

It's:

pred = clf.predict(vec);

I used this in my code and it worked:

#This makes it into a 2d array
temp =  [2 ,70 ,90 ,1] #an instance
temp = np.array(temp).reshape((1, -1))
print(model.predict(temp))

Solution 3:

2 solution: philosophy___make your data from 1D to 2D

1. Just add: []

   vec = [vec]
   

2. Reshape your data

   import numpy as npvec= np.array(vec).reshape(1, -1)
   

Solution 4:

If you want to find out where the Warning is coming from you can temporarly promote Warnings to Exceptions. This will give you a full Traceback and thus the lines where your program encountered the warning.

with warnings.catch_warnings():
    warnings.simplefilter("error")
    main()

If you run the program from the commandline you can also use the -W flag. More information on Warning-handling can be found in the python documentation.

I know it is only one part of your question I answered but did you debug your code?

Solution 5:

Since 1D array would be deprecated. Try passing 2D array as a parameter. This might help.

clf = joblib.load('model.pkl') 
pred = clf.predict([vec]);