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"ValueError: Supported target types are: ('binary', 'multiclass'). Got 'unknown' instead." in dataset kfold split

I have encountered this error

"ValueError: Supported target types are: ('binary', 'multiclass'). Got 'unknown' instead."

while running this python code line 5

1    print(data.datasetsNames)
2    for dataset in data.datasetsNames:
3       X, Y, dictActivities = data.getData(dataset)
4
5       for train, test in kfold.split(X, Y):
.
.
.
.
10 def getData(datasetName):
11    X = np.load('./npy/' + datasetName + '-x.npy')
12    Y = np.load('./npy/' + datasetName + '-y.npy')
13    dictActivities = np.load('./npy/' + datasetName + '-labels.npy').item()
14   return X, Y, dictActivities

Y is output of getdata function and the result is a 1d array which its variables is in range 0 to 6. Y=[1,2,5,0,0,0,6]

I checked with the bellow code the target type for X and Y:

X was multiclass-multioutput Y was unknown.

from sklearn.utils.multiclass import type_of_target

print(type_of_target(X))
print(type_of_target(Y))

I read somewhere that the label_encoder can solve the error but I could not to solve it.

from sklearn.preprocessing import LabelEncoder

label_encoder = LabelEncoder()
y = label_encoder.fit_transform(target_labels)

any help please.....Thanks

The src code is hear : https://github.com/danielelic/deep-casas/blob/master/train.py



source https://stackoverflow.com/questions/74081015/valueerror-supported-target-types-are-binary-multiclass-got-unknown
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