Hi there, I would like to train a logistic regression model on a continuous (i.e., not categorical) target variable. The target is a probability, which is why I am using a logistic regression for this problem. However, the sklearn function tries to find the class labels by running a unique() on the target values, which is disastrous if y is continuous.
Is there a way to train logistic regression on a continuous target variable in sklearn? Any help is highly appreciated. Best, George. -- George Bezerra
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