Error Using ExtraTreesClassifier In Scikit-learn

I am trying to use the ExtraTreesClassifier in scikit-learn on my data. I have two numpy arrays X and y. X is of dimension (10000,51) and y is (10000,). To make sure they are in nu

Solution 1:

Classifiers need integer labels.

You either need to turn them into integers (e.g. bin them), or use a regression-type model.

If you think you can bin the floats into sensible classes, numpy.digitize might help. Or you could binarize them.

Solution 2:

y should be array of integers instead of floats. Each integer should represent some class.

Solution 3:

The other way to binarize it

X = numpy.array(X, dtype='|Sx') where x states for the number of symbols required to represent your float number.