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This is the code i wrote. After executution y contains 100 columns representing classes where values are 1 where that data point is in that class.

multilabel_binarizer = MultiLabelBinarizer()
multilabel_binarizer.fit(meta['Tags'])

# transform target variable
y = multilabel_binarizer.transform(meta['Tags'])

I want to obtain an array representing the class names represented by each column.I know inverse transform is used for this purpose but i am not able to figure out the syntax. If there is any other method please share it

1 Answers1

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You can use the following function-

Classes= multilabel_binarizer.classes_
joey lang
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