CDClassifier : error for penalty="l1" and penalty="l2", but no error for penalty="l1/l2" about lightning HOT 5 OPEN

X_train_vectorised
<1177x4883 sparse matrix of type '<class 'numpy.float64'>'
with 87732 stored elements in Compressed Sparse Row format>
y_train
['0\n', '1\n', '0\n', '1\n', '1\n']

same error for reformating y_train = [int(x) for x in y_train]

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I want to solve this issue , @Sandy4321

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@Sandy4321 y needs to be a numpy array of integers, you used a list of strings.

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thanks

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by the way is it possible to predict with probability like scikit learn
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
predict_proba(X) Probability estimates.

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