The `predict` function in the `LogisticRegression` class of the `sklearn.linear_model` module in Python is used to predict the class labels for a given set of input samples. It takes the input feature array as input and returns the predicted class labels based on the trained logistic regression model. The function uses the learned parameters and applies the logistic regression formula to calculate the probabilities of each sample belonging to a particular class, and then assigns the class label with the highest probability as the predicted label for that sample.
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