Is there an efficient method for converting numpy.ndarray to a list?
I have a Y array of shape (this is just an example, I have huge data in this shape). The array is formed with numpy vstack and hstack (I don't want to change the way I get this array as I got it with some tricky operations):
Y=array([[1, 1,2], [1, 2,0], [-1, 3,1], [-1, 2,2]]) y=[1,1,-1,-1] Y1=list(Y)
Now I am inputting data into the libsvm function, this library expects the input parameters to be in the form of a dictionary, list or tuple. Hence the code for it:
The above function throws an error that "xi" must be a dictionary, list or tuple. "Another way I know is to convert Y to a list iteratively. The way to do this is:
Y1= for i in range(0, Y.shape): Y1.append(list(Y[i])
The above method works well, but is slow given the huge data I have. Is there any faster method to achieve the same?
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