sklearn model.fit“使用序列设置数组元素。”

Question

I'm currently trying to call my model's train() function by passing my X and Y data and receiving this error setting an array element with a sequence.

I tried creating fake data anbd passing it and it works just fine. fake data:

X = [[1,2,3], [2,1,3]]
Y = [0,1]
knn_model.train(X,Y)

But when passing the real data, I get the error. The real data is the value of pixels extracted from images. I get the same data structure as the fake data above but for some reason I get the error.

The data is created by instanciating the variable images = [] and then appending every array of pixels of each image.

In the debug console, here is both the fake data and the real data:

real data: array dtype('O') of list containing array dtype('uint8')
fake data: array dtype('int32') of list containing array dtype('int32')

The error received is when the function fit() is called and the error is

"setting an array element with a sequence."

train function:

def train(self, X, Y): self.model.fit(X, Y)

Answer 1

The solution is in the error message. Your model is expecting an array while you are sending a sequence/list. Convert your training data from sequence to array using numpy before you append it.

numpy.array([1.2, "abc"], dtype=float)

or

numpy.array([1.2, 1, 42, 46])